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Parameterized Algorithms for Non-uniform All-to-all Ke Fan, Jens Domke, Seydou Ba, Sidharth Kumar
TL;DR — Introduces parameterized algorithms that adapt non-uniform all-to-all collective communication to heterogeneous network topologies, reducing message contention and improving throughput.
Why notable — Non-uniform all-to-all is a performance bottleneck in many HPC applications; topology-aware parameterization directly benefits MPI implementations on dragonfly and fat-tree networks at scale.
→ Read paper DPU-KV: On the Benefits of DPU Offloading for In-Memory Key-Value Stores at the Edge Arjun Kashyap, Yuke Li 0003, Xiaoyi Lu 0001
...</p></div><footer class=entry-footer><span title='2025-07-20 00:00:00 +0000 UTC'>July 20, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to HPDC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/hpdc-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>ATC 2025 Digest</h2></header><div class=entry-content><p>13 papers selected.
ASTERINAS: A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB Yuke Peng, Hongliang Tian, Junyang Zhang, Ruihan Li et al.
TL;DR — A production-grade OS kernel written in Rust that exposes a full Linux ABI while confining unsafe code to a small, formally-audited framekernel core.
Why notable — ASTERINAS demonstrates that Linux compatibility and memory-safety guarantees are not mutually exclusive — unsafe Rust is isolated to under 5 kloc of framework code, giving systems operators a credible path toward a safer Linux-compatible kernel without sacrificing application portability.
...</p></div><footer class=entry-footer><span title='2025-07-09 00:00:00 +0000 UTC'>July 9, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to ATC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/atc-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>MobiSys 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
Hopter: a Safe, Robust, and Responsive Embedded Operating System Zhiyao Ma, Guojun Chen, Zhuo Chen 0011, Lin Zhong 0001
TL;DR — Hopter is a new embedded OS that enforces memory safety and real-time responsiveness through a Rust-based task model with cooperative and preemptive scheduling co-designed from the ground up.
Why notable — Building a ground-up safe embedded OS is a long-standing challenge; Hopter addresses it without sacrificing the determinism that IoT and robotics workloads demand, offering a credible alternative to unsafe C-based RTOSes.
...</p></div><footer class=entry-footer><span title='2025-06-23 00:00:00 +0000 UTC'>June 23, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to MobiSys 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/mobisys-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>IPDPS 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
Enhancing OmpSs-2 Suspendable Tasks by Combining Operating System and User-Level Threads with C++ Coroutines Arnau Cinca, Aleix Roca, Kevin Sala, Raúl Peñacoba Veigas et al.
TL;DR — Extends the OmpSs-2 task-based runtime with C++ coroutines to implement suspendable tasks that can yield while blocked on I/O or communication without stalling the OS thread.
Why notable — Suspendable tasks are a key missing primitive for overlapping computation and communication in task-graph runtimes; the hybrid OS/user-level thread design avoids the overhead of full context switches while remaining portable, with broad implications for OpenMP-style programming on modern heterogeneous nodes.
...</p></div><footer class=entry-footer><span title='2025-05-19 00:00:00 +0000 UTC'>May 19, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to IPDPS 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ipdps-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>NSDI 2025 Digest</h2></header><div class=entry-content><p>13 papers selected.
PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters Xinle Du, Tong Li 0014, Guangmeng Zhou, Zhuotao Liu et al.
TL;DR — PRED redesigns AQM by making drop probability a direct function of per-flow performance targets rather than queue length, eliminating the instability of classic RED in modern datacenter workloads.
Why notable — RED has been a cornerstone of congestion control for decades; PRED’s performance-centric reformulation challenges a long-held design axiom and demonstrates significantly lower tail latency at scale. It opens the door to intent-driven AQM as a first-class primitive in datacenter switches.
...</p></div><footer class=entry-footer><span title='2025-04-28 00:00:00 +0000 UTC'>April 28, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to NSDI 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/nsdi-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>EuroSys 2025 Digest</h2></header><div class=entry-content><p>13 papers selected.
Empowering WebAssembly with Thin Kernel Interfaces Arjun Ramesh, Tianshu Huang, Ben L. Titzer, Anthony Rowe 0001
TL;DR — A new OS interface design exposes thin, capability-based kernel primitives directly to WebAssembly modules, eliminating the POSIX translation layer.
Why notable — WebAssembly is increasingly used beyond the browser as a portable, sandboxed compute substrate; this work shows that rethinking the system interface from scratch yields significantly lower overhead and better safety properties than layering Wasm on top of POSIX.
...</p></div><footer class=entry-footer><span title='2025-03-30 00:00:00 +0000 UTC'>March 30, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to EuroSys 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/eurosys-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>FGCS 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt et al.
TL;DR — A joint JLESC survey covering error-bounded lossy compressors (SZ, ZFP, MGARD) across simulation, AI, and in-situ analytics use cases, with benchmarks on real scientific datasets at extreme scale.
Why notable — The most comprehensive cross-site evaluation of scientific data compression to date, providing actionable guidance on compressor selection for different numerical kernels and accuracy requirements.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to FGCS 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/fgcs-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>IC 2025 Digest</h2></header><div class=entry-content><p>10 papers selected.
Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum Ella Peltonen, Suzan Bayhan, David Bermbach, Sebastian Buschjäger et al.
TL;DR — A multi-author position paper calling for carbon-aware design principles across the cloud-to-edge computing continuum, surveying energy measurement, workload scheduling, and hardware lifecycle challenges.
Why notable — Establishes a community research agenda for sustainable computing infrastructure at a time when datacenter and edge energy consumption is under increasing regulatory and societal scrutiny.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to IC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ic-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>JPDC 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
Throughput of Byzantine Broadcast Ruomu Hou, Haifeng Yu, Prateek Saxena
TL;DR — Establishes tight throughput bounds for Byzantine broadcast protocols and constructs algorithms that saturate those bounds, separating throughput from latency in the fault-tolerant broadcast landscape.
Why notable — Provides the first rigorous throughput characterization of Byzantine broadcast, a fundamental primitive whose capacity limits were previously unquantified.
How to reduce the number of steps for (multi-valued validated) Byzantine agreement? Baohan Huang, Haibin Zhang, Chao Liu 0039, Shengli Liu 0001 et al.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to JPDC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Middleware 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
Recipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu et al.
TL;DR — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.
Efficient Performance Guarantees for Function-as-a-Service with Cloud Allocators Hai Duc Nguyen 0005, Andrew A. Chien
TL;DR — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to Middleware 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>OSDI 2025 Digest</h2></header><div class=entry-content><p>13 papers selected.
Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols Tony Nuda Zhang, Keshav Singh, Tej Chajed, Manos Kapritsos et al.
TL;DR — Automates the construction of correctness proofs for distributed protocols that were previously considered undecidable, advancing the state of the art in verified systems.
Mako: Speculative Distributed Transactions with Geo-Replication Weihai Shen, Yang Cui, Siddhartha Sen 0001, Sebastian Angel et al.
TL;DR — Combines speculative execution with geo-replication to deliver low-latency distributed transactions without sacrificing consistency, addressing a fundamental tension in wide-area systems.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to OSDI 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/osdi-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SC 2025 Digest</h2></header><div class=entry-content><p>15 papers selected.
Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability Nicholas Frontiere, J. D. Emberson, Michael Buehlmann, Esteban M. Rangel et al.
TL;DR — Delivers the first trillion-particle cosmological hydrodynamics simulation on exascale hardware, demonstrating sustained petaflop-scale performance on a flagship scientific application.
Ab-initio Quantum Transport with the GW Approximation, 42, 240 Atoms, and Sustained Exascale Performance Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka et al.
TL;DR — Achieves sustained exascale performance for first-principles quantum transport at 42,240 atoms, establishing a new scale record for the GW many-body perturbation method.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sc-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SEC 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models Haoxin Wang 0003
TL;DR — Provides the first detailed runtime profiling framework for on-device LLM inference, revealing key latency bottlenecks across diverse edge hardware configurations.
SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving Xiangchen Li
TL;DR — Adapts speculative decoding to edge serving constraints, reducing LLM token generation latency while respecting the tight memory and compute budgets of edge nodes.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SEC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sec-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SoCC 2025 Digest</h2></header><div class=entry-content><p>13 papers selected.
From Bottleneck to Breakthrough: Optimizing Scheduling for Hyperscale Containerized Clusters Bing Li, Yuquan Ren, Xinyi Song, Zhilei Liu et al.
TL;DR — Documents production-scale scheduling improvements at a hyperscale cloud provider, demonstrating how targeted optimizations reduce scheduling tail latency and increase cluster utilization in real containerized workloads.
CPU-Limits kill Performance: Time to rethink Resource Control Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz et al.
TL;DR — Challenges the conventional use of CPU cgroup limits in cloud environments, showing through production evidence that CFS bandwidth throttling degrades application QoS and proposing a rethink of resource control abstractions.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SoCC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/socc-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SOSP 2025 Digest</h2></header><div class=entry-content><p>14 papers selected.
LithOS: An Operating System for Efficient Machine Learning on GPUs Patrick H. Coppock, Brian Zhang, Eliot H. Solomon, Vasilis Kypriotis et al.
TL;DR — Designs a dedicated OS for GPU ML workloads, rethinking scheduling and resource management at the kernel level for accelerator-centric computing.
CHERIoT RTOS: An OS for Fine-Grained Memory-Safe Compartments on Low-Cost Embedded Devices Saar Amar, Tony Chen, David Chisnall, Nathaniel Wesley Filardo et al.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SOSP 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sosp-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TC 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
RV-CURE: A RISC-V Capability Architecture for Full Memory Safety Yonghae Kim, Anurag Kar, Jaewon Lee, Jaekyu Lee et al.
TL;DR — Extends the RISC-V ISA with hardware capabilities to enforce full memory safety—including bounds checking and pointer provenance—across the entire software stack.
Why notable — Demonstrates that capability-based memory safety can be integrated into an open ISA at low cost, with implications for deploying safe-by-default embedded and server systems.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tc-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TCC 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
DRKC: Deep Reinforcement Learning Enhanced Microservice Scheduling on Kubernetes Clusters in Cloud-Edge Environment Jian Jiang, Qianmu Li, Pengchuan Wang, Yunhuai Liu
TL;DR — DRKC uses deep reinforcement learning to schedule microservices across Kubernetes clusters spanning cloud and edge nodes, optimizing latency and resource utilization.
Why notable — One of the few papers to tackle DRL-based microservice placement at the Kubernetes level in a real cloud-edge topology, making it directly actionable for practitioners.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TCC 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tcc-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TOCS 2025 Digest</h2></header><div class=entry-content><p>10 papers selected.
Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel Mingkai Dong, Fangnuo Wu, Gequan Mo, Haibo Chen
TL;DR — A microkernel-based whole-system persistence scheme uses tree-structured incremental checkpointing to achieve low-overhead, crash-consistent snapshots of the entire OS state.
Why notable — Whole-system persistence is a foundational building block for reliable systems; this paper shows it can be done efficiently within a microkernel architecture.
XpuTEE: A High-Performance and Practical Heterogeneous Trusted Execution Environment for GPUs Shulin Fan, Zhichao Hua, Yubin Xia, Haibo Chen
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TOCS 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tocs-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TPDS 2025 Digest</h2></header><div class=entry-content><p>12 papers selected.
HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient HPC Resource Management Kyrian Adimora, Hongyang Sun 0001
TL;DR — HARMONIC applies uncertainty-aware multi-objective optimization to jointly minimize energy consumption and maximize performance for HPC resource allocation.
Why notable — It directly addresses the growing demand for energy-proportional HPC scheduling with principled probabilistic models, making it relevant to both system designers and green-computing researchers.
MIST: Towards MPI Instant Startup and Termination on Tianhe HPC Systems Yiqin Dai, Ruibo Wang, Yong Dong, Min Xie et al.
...</p></div><footer class=entry-footer><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TPDS 2025 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tpds-2025/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Middleware 2024 Digest</h2></header><div class=entry-content><p>11 papers selected.
Chasing Lightspeed Consensus: Fast Wide-Area Byzantine Replication with Mercury Christian Berger 0006, Lívio Rodrigues, Hans P. Reiser, Vinicius Vielmo Cogo et al.
TL;DR — Mercury is a wide-area Byzantine fault-tolerant replication protocol that minimises latency by exploiting geographic locality and pipelining to approach the theoretical lightspeed bound.
Why notable — Achieving near-lightspeed latency in Byzantine replication across wide-area networks has been a long-standing open challenge; Mercury’s design demonstrates it is practically attainable. The result raises the bar for what production BFT middleware can deliver in geo-distributed deployments.
...</p></div><footer class=entry-footer><span title='2024-12-02 00:00:00 +0000 UTC'>December 2, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to Middleware 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2024/></a></article><footer class=page-footer><nav class=pagination><a class=next href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/page/2/>Next&nbsp;&nbsp;»</a></nav></footer></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Digests on Publish Assistant</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/</link><description>Recent content in Digests on Publish Assistant</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 20 Jul 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/index.xml" rel="self" type="application/rss+xml"/><item><title>HPDC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/hpdc-2025/</link><pubDate>Sun, 20 Jul 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/hpdc-2025/</guid><description>&lt;p&gt;10 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="parameterized-algorithms-for-non-uniform-all-to-all"&gt;Parameterized Algorithms for Non-uniform All-to-all&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Ke Fan, Jens Domke, Seydou Ba, Sidharth Kumar&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Introduces parameterized algorithms that adapt non-uniform all-to-all collective communication to heterogeneous network topologies, reducing message contention and improving throughput.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Non-uniform all-to-all is a performance bottleneck in many HPC applications; topology-aware parameterization directly benefits MPI implementations on dragonfly and fat-tree networks at scale.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://doi.org/10.1145/3731545.3731590"&gt;→ Read paper&lt;/a&gt;
&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="dpu-kv-on-the-benefits-of-dpu-offloading-for-in-memory-key-value-stores-at-the-edge"&gt;DPU-KV: On the Benefits of DPU Offloading for In-Memory Key-Value Stores at the Edge&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Arjun Kashyap, Yuke Li 0003, Xiaoyi Lu 0001&lt;/em&gt;&lt;/p&gt;</description></item><item><title>ATC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/atc-2025/</link><pubDate>Wed, 09 Jul 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/atc-2025/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="asterinas-a-linux-abi-compatible-rust-based-framekernel-os-with-a-small-and-sound-tcb"&gt;ASTERINAS: A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Yuke Peng, Hongliang Tian, Junyang Zhang, Ruihan Li &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A production-grade OS kernel written in Rust that exposes a full Linux ABI while confining unsafe code to a small, formally-audited framekernel core.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — ASTERINAS demonstrates that Linux compatibility and memory-safety guarantees are not mutually exclusive — unsafe Rust is isolated to under 5 kloc of framework code, giving systems operators a credible path toward a safer Linux-compatible kernel without sacrificing application portability.&lt;/p&gt;</description></item><item><title>MobiSys 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/mobisys-2025/</link><pubDate>Mon, 23 Jun 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/mobisys-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="hopter-a-safe-robust-and-responsive-embedded-operating-system"&gt;Hopter: a Safe, Robust, and Responsive Embedded Operating System&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Zhiyao Ma, Guojun Chen, Zhuo Chen 0011, Lin Zhong 0001&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Hopter is a new embedded OS that enforces memory safety and real-time responsiveness through a Rust-based task model with cooperative and preemptive scheduling co-designed from the ground up.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Building a ground-up safe embedded OS is a long-standing challenge; Hopter addresses it without sacrificing the determinism that IoT and robotics workloads demand, offering a credible alternative to unsafe C-based RTOSes.&lt;/p&gt;</description></item><item><title>IPDPS 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ipdps-2025/</link><pubDate>Mon, 19 May 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ipdps-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="enhancing-ompss-2-suspendable-tasks-by-combining-operating-system-and-user-level-threads-with-c-coroutines"&gt;Enhancing OmpSs-2 Suspendable Tasks by Combining Operating System and User-Level Threads with C++ Coroutines&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Arnau Cinca, Aleix Roca, Kevin Sala, Raúl Peñacoba Veigas &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Extends the OmpSs-2 task-based runtime with C++ coroutines to implement suspendable tasks that can yield while blocked on I/O or communication without stalling the OS thread.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Suspendable tasks are a key missing primitive for overlapping computation and communication in task-graph runtimes; the hybrid OS/user-level thread design avoids the overhead of full context switches while remaining portable, with broad implications for OpenMP-style programming on modern heterogeneous nodes.&lt;/p&gt;</description></item><item><title>NSDI 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/nsdi-2025/</link><pubDate>Mon, 28 Apr 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/nsdi-2025/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="pred-performance-oriented-random-early-detection-for-consistently-stable-performance-in-datacenters"&gt;PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Xinle Du, Tong Li 0014, Guangmeng Zhou, Zhuotao Liu &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — PRED redesigns AQM by making drop probability a direct function of per-flow performance targets rather than queue length, eliminating the instability of classic RED in modern datacenter workloads.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — RED has been a cornerstone of congestion control for decades; PRED&amp;rsquo;s performance-centric reformulation challenges a long-held design axiom and demonstrates significantly lower tail latency at scale. It opens the door to intent-driven AQM as a first-class primitive in datacenter switches.&lt;/p&gt;</description></item><item><title>EuroSys 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/eurosys-2025/</link><pubDate>Sun, 30 Mar 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/eurosys-2025/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="empowering-webassembly-with-thin-kernel-interfaces"&gt;Empowering WebAssembly with Thin Kernel Interfaces&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Arjun Ramesh, Tianshu Huang, Ben L. Titzer, Anthony Rowe 0001&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A new OS interface design exposes thin, capability-based kernel primitives directly to WebAssembly modules, eliminating the POSIX translation layer.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — WebAssembly is increasingly used beyond the browser as a portable, sandboxed compute substrate; this work shows that rethinking the system interface from scratch yields significantly lower overhead and better safety properties than layering Wasm on top of POSIX.&lt;/p&gt;</description></item><item><title>FGCS 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/fgcs-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/fgcs-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="multifacets-of-lossy-compression-for-scientific-data-in-the-joint-laboratory-of-extreme-scale-computing"&gt;Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A joint JLESC survey covering error-bounded lossy compressors (SZ, ZFP, MGARD) across simulation, AI, and in-situ analytics use cases, with benchmarks on real scientific datasets at extreme scale.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — The most comprehensive cross-site evaluation of scientific data compression to date, providing actionable guidance on compressor selection for different numerical kernels and accuracy requirements.&lt;/p&gt;</description></item><item><title>IC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ic-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ic-2025/</guid><description>&lt;p&gt;10 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="rethinking-computing-systems-in-the-era-of-climate-crisis-a-call-for-a-sustainable-computing-continuum"&gt;Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Ella Peltonen, Suzan Bayhan, David Bermbach, Sebastian Buschjäger &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A multi-author position paper calling for carbon-aware design principles across the cloud-to-edge computing continuum, surveying energy measurement, workload scheduling, and hardware lifecycle challenges.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Establishes a community research agenda for sustainable computing infrastructure at a time when datacenter and edge energy consumption is under increasing regulatory and societal scrutiny.&lt;/p&gt;</description></item><item><title>JPDC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="throughput-of-byzantine-broadcast"&gt;Throughput of Byzantine Broadcast&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Ruomu Hou, Haifeng Yu, Prateek Saxena&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Establishes tight throughput bounds for Byzantine broadcast protocols and constructs algorithms that saturate those bounds, separating throughput from latency in the fault-tolerant broadcast landscape.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Provides the first rigorous throughput characterization of Byzantine broadcast, a fundamental primitive whose capacity limits were previously unquantified.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="how-to-reduce-the-number-of-steps-for-multi-valued-validated-byzantine-agreement"&gt;How to reduce the number of steps for (multi-valued validated) Byzantine agreement?&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Baohan Huang, Haibin Zhang, Chao Liu 0039, Shengli Liu 0001 &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;</description></item><item><title>Middleware 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="recipe-hardware-accelerated-replication-protocols-rethinking-crash-fault-tolerance-protocols-for-untrusted-cloud-environments"&gt;Recipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="efficient-performance-guarantees-for-function-as-a-service-with-cloud-allocators"&gt;Efficient Performance Guarantees for Function-as-a-Service with Cloud Allocators&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Hai Duc Nguyen 0005, Andrew A. Chien&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure.&lt;/p&gt;</description></item><item><title>OSDI 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/osdi-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/osdi-2025/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="basilisk-using-provenance-invariants-to-automate-proofs-of-undecidable-protocols"&gt;Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Tony Nuda Zhang, Keshav Singh, Tej Chajed, Manos Kapritsos &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Automates the construction of correctness proofs for distributed protocols that were previously considered undecidable, advancing the state of the art in verified systems.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="mako-speculative-distributed-transactions-with-geo-replication"&gt;Mako: Speculative Distributed Transactions with Geo-Replication&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Weihai Shen, Yang Cui, Siddhartha Sen 0001, Sebastian Angel &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Combines speculative execution with geo-replication to deliver low-latency distributed transactions without sacrificing consistency, addressing a fundamental tension in wide-area systems.&lt;/p&gt;</description></item><item><title>SC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sc-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sc-2025/</guid><description>&lt;p&gt;15 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="cosmological-hydrodynamics-at-exascale-a-trillion-particle-leap-in-capability"&gt;Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Nicholas Frontiere, J. D. Emberson, Michael Buehlmann, Esteban M. Rangel &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Delivers the first trillion-particle cosmological hydrodynamics simulation on exascale hardware, demonstrating sustained petaflop-scale performance on a flagship scientific application.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="ab-initio-quantum-transport-with-the-gw-approximation-42-240-atoms-and-sustained-exascale-performance"&gt;Ab-initio Quantum Transport with the GW Approximation, 42, 240 Atoms, and Sustained Exascale Performance&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Achieves sustained exascale performance for first-principles quantum transport at 42,240 atoms, establishing a new scale record for the GW many-body perturbation method.&lt;/p&gt;</description></item><item><title>SEC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sec-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sec-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="lm-meter-unveiling-runtime-inference-latency-for-on-device-language-models"&gt;lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Haoxin Wang 0003&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Provides the first detailed runtime profiling framework for on-device LLM inference, revealing key latency bottlenecks across diverse edge hardware configurations.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="sled-a-speculative-llm-decoding-framework-for-efficient-edge-serving"&gt;SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Xiangchen Li&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Adapts speculative decoding to edge serving constraints, reducing LLM token generation latency while respecting the tight memory and compute budgets of edge nodes.&lt;/p&gt;</description></item><item><title>SoCC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/socc-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/socc-2025/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="from-bottleneck-to-breakthrough-optimizing-scheduling-for-hyperscale-containerized-clusters"&gt;From Bottleneck to Breakthrough: Optimizing Scheduling for Hyperscale Containerized Clusters&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Bing Li, Yuquan Ren, Xinyi Song, Zhilei Liu &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Documents production-scale scheduling improvements at a hyperscale cloud provider, demonstrating how targeted optimizations reduce scheduling tail latency and increase cluster utilization in real containerized workloads.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="cpu-limits-kill-performance-time-to-rethink-resource-control"&gt;CPU-Limits kill Performance: Time to rethink Resource Control&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Challenges the conventional use of CPU cgroup limits in cloud environments, showing through production evidence that CFS bandwidth throttling degrades application QoS and proposing a rethink of resource control abstractions.&lt;/p&gt;</description></item><item><title>SOSP 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sosp-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sosp-2025/</guid><description>&lt;p&gt;14 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="lithos-an-operating-system-for-efficient-machine-learning-on-gpus"&gt;LithOS: An Operating System for Efficient Machine Learning on GPUs&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Patrick H. Coppock, Brian Zhang, Eliot H. Solomon, Vasilis Kypriotis &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Designs a dedicated OS for GPU ML workloads, rethinking scheduling and resource management at the kernel level for accelerator-centric computing.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="cheriot-rtos-an-os-for-fine-grained-memory-safe-compartments-on-low-cost-embedded-devices"&gt;CHERIoT RTOS: An OS for Fine-Grained Memory-Safe Compartments on Low-Cost Embedded Devices&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Saar Amar, Tony Chen, David Chisnall, Nathaniel Wesley Filardo &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;</description></item><item><title>TC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tc-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tc-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="rv-cure-a-risc-v-capability-architecture-for-full-memory-safety"&gt;RV-CURE: A RISC-V Capability Architecture for Full Memory Safety&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Yonghae Kim, Anurag Kar, Jaewon Lee, Jaekyu Lee &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Extends the RISC-V ISA with hardware capabilities to enforce full memory safety—including bounds checking and pointer provenance—across the entire software stack.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Demonstrates that capability-based memory safety can be integrated into an open ISA at low cost, with implications for deploying safe-by-default embedded and server systems.&lt;/p&gt;</description></item><item><title>TCC 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tcc-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tcc-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="drkc-deep-reinforcement-learning-enhanced-microservice-scheduling-on-kubernetes-clusters-in-cloud-edge-environment"&gt;DRKC: Deep Reinforcement Learning Enhanced Microservice Scheduling on Kubernetes Clusters in Cloud-Edge Environment&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Jian Jiang, Qianmu Li, Pengchuan Wang, Yunhuai Liu&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — DRKC uses deep reinforcement learning to schedule microservices across Kubernetes clusters spanning cloud and edge nodes, optimizing latency and resource utilization.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — One of the few papers to tackle DRL-based microservice placement at the Kubernetes level in a real cloud-edge topology, making it directly actionable for practitioners.&lt;/p&gt;</description></item><item><title>TOCS 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tocs-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tocs-2025/</guid><description>&lt;p&gt;10 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="whole-system-persistence-made-efficient-with-tree-structured-checkpointing-on-microkernel"&gt;Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Mingkai Dong, Fangnuo Wu, Gequan Mo, Haibo Chen&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A microkernel-based whole-system persistence scheme uses tree-structured incremental checkpointing to achieve low-overhead, crash-consistent snapshots of the entire OS state.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Whole-system persistence is a foundational building block for reliable systems; this paper shows it can be done efficiently within a microkernel architecture.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="xputee-a-high-performance-and-practical-heterogeneous-trusted-execution-environment-for-gpus"&gt;XpuTEE: A High-Performance and Practical Heterogeneous Trusted Execution Environment for GPUs&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Shulin Fan, Zhichao Hua, Yubin Xia, Haibo Chen&lt;/em&gt;&lt;/p&gt;</description></item><item><title>TPDS 2025 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tpds-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tpds-2025/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="harmonic-uncertainty-aware-multi-objective-optimization-for-energy-efficient-hpc-resource-management"&gt;HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient HPC Resource Management&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Kyrian Adimora, Hongyang Sun 0001&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — HARMONIC applies uncertainty-aware multi-objective optimization to jointly minimize energy consumption and maximize performance for HPC resource allocation.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — It directly addresses the growing demand for energy-proportional HPC scheduling with principled probabilistic models, making it relevant to both system designers and green-computing researchers.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="mist-towards-mpi-instant-startup-and-termination-on-tianhe-hpc-systems"&gt;MIST: Towards MPI Instant Startup and Termination on Tianhe HPC Systems&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Yiqin Dai, Ruibo Wang, Yong Dong, Min Xie &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;</description></item><item><title>Middleware 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2024/</link><pubDate>Mon, 02 Dec 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2024/</guid><description>&lt;p&gt;11 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="chasing-lightspeed-consensus-fast-wide-area-byzantine-replication-with-mercury"&gt;Chasing Lightspeed Consensus: Fast Wide-Area Byzantine Replication with Mercury&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Christian Berger 0006, Lívio Rodrigues, Hans P. Reiser, Vinicius Vielmo Cogo &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Mercury is a wide-area Byzantine fault-tolerant replication protocol that minimises latency by exploiting geographic locality and pipelining to approach the theoretical lightspeed bound.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Achieving near-lightspeed latency in Byzantine replication across wide-area networks has been a long-standing open challenge; Mercury&amp;rsquo;s design demonstrates it is practically attainable. The result raises the bar for what production BFT middleware can deliver in geo-distributed deployments.&lt;/p&gt;</description></item><item><title>SOSP 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sosp-2024/</link><pubDate>Tue, 05 Nov 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sosp-2024/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="verus-a-practical-foundation-for-systems-verification"&gt;Verus: A Practical Foundation for Systems Verification&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Andrea Lattuada 0001, Travis Hance, Jay Bosamiya, Matthias Brun 0002 &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Verus is a Rust-based verification framework that makes formal proofs of low-level systems code tractable at scale, covering memory safety, functional correctness, and concurrency.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Formal verification of real systems code has long been impractical; Verus closes the usability gap by integrating SMT-based proofs directly into a systems programming language, making it the most broadly applicable verification tool for the OS community to date.&lt;/p&gt;</description></item><item><title>SoCC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/socc-2024/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/socc-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="queue-management-for-slo-oriented-large-language-model-serving"&gt;Queue Management for SLO-Oriented Large Language Model Serving&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A queue management framework that enforces latency SLOs for LLM serving by dynamically routing and prioritizing requests across heterogeneous inference capacity.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — As LLM deployments move into production clouds, meeting strict time-to-first-token and total latency SLOs becomes critical; this work directly addresses that gap with a practical, deployable solution. It is one of the first papers to treat LLM serving as a cloud SLO-management problem rather than a pure model-optimization problem.&lt;/p&gt;</description></item><item><title>OSDI 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/osdi-2024/</link><pubDate>Wed, 10 Jul 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/osdi-2024/</guid><description>&lt;p&gt;11 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="distserve-disaggregating-prefill-and-decoding-for-goodput-optimized-large-language-model-serving"&gt;DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Separates the compute-heavy prefill phase from the memory-bound decoding phase onto different GPU pools, eliminating head-of-line blocking and significantly improving LLM serving throughput.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Became one of the most influential LLM systems papers of 2024; the prefill–decode disaggregation insight is now widely adopted in production inference stacks (vLLM, SGLang, etc.).&lt;/p&gt;</description></item><item><title>CCGrid 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ccgrid-2024/</link><pubDate>Mon, 06 May 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ccgrid-2024/</guid><description>&lt;p&gt;10 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="fair-efficient-multi-resource-scheduling-for-stateless-serverless-functions-with-anubis"&gt;Fair, Efficient Multi-Resource Scheduling for Stateless Serverless Functions with Anubis&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Amit Samanta 0001, Ryan Stutsman&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Anubis introduces a fair, multi-resource scheduler for stateless serverless functions that achieves efficiency without sacrificing isolation between tenants.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Fairness in serverless resource allocation is an open problem as functions compete for heterogeneous resources (CPU, memory, I/O); Anubis provides a concrete, deployable answer. The work directly addresses a gap in production FaaS platforms where existing schedulers optimize for throughput but ignore per-tenant equity.&lt;/p&gt;</description></item><item><title>ATC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/atc-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/atc-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="fetchbpf-customizable-prefetching-policies-in-linux-with-ebpf"&gt;FetchBPF: Customizable Prefetching Policies in Linux with eBPF&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Xuechun Cao, Shaurya Patel, Soo-Yee Lim, Xueyuan Han &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Extends eBPF into the page-fault / prefetch path, giving user-space programs a safe, low-overhead hook to install custom hardware-prefetch policies without kernel modifications.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="fast-trapless-kernel-probes-everywhere"&gt;Fast (Trapless) Kernel Probes Everywhere&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Jinghao Jia, Michael V. Le, Salman Ahmed 0001, Dan Williams 0001 &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Eliminates the trap-based overhead of kprobes by using binary rewriting to instrument kernel functions at near-zero cost, enabling always-on production tracing.&lt;/p&gt;</description></item><item><title>EuroSys 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/eurosys-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/eurosys-2024/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="pronghorn-effective-checkpoint-orchestration-for-serverless-hot-starts"&gt;Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Demonstrates how carefully orchestrated checkpointing can eliminate cold-start latency in serverless runtimes, achieving near-instant hot-starts with negligible overhead.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="serializationdeserialization-free-state-transfer-in-serverless-workflows"&gt;Serialization/Deserialization-free State Transfer in Serverless Workflows&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Fangming Lu, Xingda Wei, Zhuobin Huang, Rong Chen 0001 &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Eliminates the dominant serialization cost in serverless function chaining by enabling direct in-memory state passing, yielding large end-to-end latency reductions.&lt;/p&gt;</description></item><item><title>FGCS 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/fgcs-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/fgcs-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="quantum-centric-supercomputing-for-materials-science-a-perspective-on-challenges-and-future-directions"&gt;Quantum-centric supercomputing for materials science: A perspective on challenges and future directions&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A comprehensive roadmap from IBM, national labs, and universities identifying key algorithmic, software, and hardware challenges for using quantum processors alongside classical HPC to advance materials science simulations.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Essential reading for any researcher planning quantum-classical hybrid workflows, covering the full stack from error mitigation to application mapping at scale.&lt;/p&gt;</description></item><item><title>HPDC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/hpdc-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/hpdc-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="efficient-all-to-all-collective-communication-schedules-for-direct-connect-topologies"&gt;Efficient all-to-all Collective Communication Schedules for Direct-connect Topologies&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Prithwish Basu, Liangyu Zhao, Jason Fantl, Siddharth Pal &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Derives near-optimal all-to-all collective communication schedules for direct-connect HPC topologies, directly improving bandwidth utilization in large-scale distributed systems.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="reinforcement-learning-based-adaptive-mitigation-of-uncorrected-dram-errors-in-the-field"&gt;Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Isaac Boixaderas, Sergi Moré, Javier Bartolome, David Vicente &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Applies reinforcement learning to dynamically mitigate uncorrected DRAM errors at production HPC scale, improving system reliability without sacrificing performance.&lt;/p&gt;</description></item><item><title>IC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ic-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ic-2024/</guid><description>&lt;p&gt;10 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="revisiting-edge-ai-opportunities-and-challenges"&gt;Revisiting Edge AI: Opportunities and Challenges&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Tobias Meuser, Lauri Lovén, Monowar Bhuyan, Shishir G. Patil &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — A multi-author position paper that revisits the state of edge AI, cataloguing deployment barriers and open research problems across hardware, networking, and software layers.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Brings together 19 leading researchers to synthesize the field&amp;rsquo;s most pressing edge AI challenges, making it an authoritative reference for practitioners and researchers planning edge deployments.&lt;/p&gt;</description></item><item><title>IPDPS 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ipdps-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ipdps-2024/</guid><description>&lt;p&gt;14 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="low-depth-spatial-tree-algorithms"&gt;Low-Depth Spatial Tree Algorithms&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Introduces parallel spatial-tree algorithms with provably low depth, advancing the theory of work-efficient parallel data structures for geometric workloads.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="alternative-basis-matrix-multiplication-is-fast-and-stable"&gt;Alternative Basis Matrix Multiplication is Fast and Stable&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Oded Schwartz, Sivan Toledo, Noa Vaknin, Gal Wiernik&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Demonstrates that alternative-basis matrix multiplication achieves both practical speed and numerical stability, challenging the conventional trade-off between the two.&lt;/p&gt;</description></item><item><title>JPDC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="readwrite-fence-free-work-stealing-with-multiplicity"&gt;Read/write fence-free work-stealing with multiplicity&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Armando Castañeda, Miguel Piña&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Presents a work-stealing deque algorithm that eliminates read/write memory fences while tolerating multiplicity, achieving provably correct concurrent access without costly barriers.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Advances the theoretical foundations of lock-free scheduler data structures by decoupling correctness from fence instructions, directly impacting runtime system design.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="reliable-communication-in-dynamic-networks-with-locally-bounded-byzantine-faults"&gt;Reliable communication in dynamic networks with locally bounded byzantine faults&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Silvia Bonomi, Giovanni Farina, Sébastien Tixeuil&lt;/em&gt;&lt;/p&gt;</description></item><item><title>MobiSys 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/mobisys-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/mobisys-2024/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="wais-leveraging-wifi-for-resource-efficient-slam"&gt;WAIS: Leveraging WiFi for Resource-Efficient SLAM&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Aditya Arun 0002, William Hunter, Roshan Sai Ayyalasomayajula, Dinesh Bharadia&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Demonstrates that commodity WiFi signals can replace LiDAR for simultaneous localization and mapping, dramatically cutting the resource cost of robot/AR navigation.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="uwb-fi-pushing-wi-fi-towards-ultra-wideband-for-fine-granularity-sensing"&gt;UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Xin Li 0070, Hongbo Wang, Zhe Chen 0015, Zhiping Jiang &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Extends standard Wi-Fi to UWB-class sensing resolution without hardware changes, enabling centimeter-level gesture and motion detection on existing infrastructure.&lt;/p&gt;</description></item><item><title>NSDI 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/nsdi-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/nsdi-2024/</guid><description>&lt;p&gt;13 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="megascale-scaling-large-language-model-training-to-more-than-10-000-gpus"&gt;MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — ByteDance&amp;rsquo;s full production account of training LLMs at 10,000+ GPUs, with novel co-design of the network stack, fault tolerance, and collective communication to sustain near-linear scaling.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="harmony-a-congestion-free-datacenter-architecture"&gt;Harmony: A Congestion-free Datacenter Architecture&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Saksham Agarwal, Qizhe Cai, Rachit Agarwal 0001, David B. Shmoys &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;</description></item><item><title>SC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sc-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sc-2024/</guid><description>&lt;p&gt;15 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="pushing-the-limit-of-quantum-mechanical-simulation-to-the-raman-spectra-of-a-biological-system-with-100-million-atoms"&gt;Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Honghui Shang, Ying Liu 0055, Zhikun Wu, Zhenchuan Chen &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Gordon Bell-class result scaling ab initio Raman spectroscopy to 100 million atoms, pushing quantum-chemical simulation well beyond prior limits.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="breaking-the-molecular-dynamics-timescale-barrier-using-a-wafer-scale-system"&gt;Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;</description></item><item><title>SEC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sec-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sec-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="edgecore-resource-dependency-aware-multi-tenant-orchestration-for-mobile-edge-clouds"&gt;EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Amran Haroon&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Introduces a multi-tenant edge orchestration system that captures resource dependencies across co-located workloads, demonstrating significant improvements in task completion latency and resource utilization.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="righteous-automatic-right-sizing-for-complex-edge-deployments"&gt;Righteous: Automatic Right-Sizing for Complex Edge Deployments&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Aniruddha Rakshit&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Presents an automated right-sizing framework for edge deployments that dynamically adjusts resource allocations to match workload demands without manual intervention.&lt;/p&gt;</description></item><item><title>TC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tc-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tc-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="achieving-dram-like-pcm-by-trading-off-capacity-for-latency"&gt;Achieving DRAM-Like PCM by Trading Off Capacity for Latency&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Irina Alam, Puneet Gupta 0001&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — Proposes a capacity-for-latency trade-off in Phase Change Memory to match DRAM-level access latency without specialized process changes.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Offers a practical path to deploying PCM as a DRAM alternative, directly addressing the latency gap that has blocked PCM adoption in main-memory systems.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="a-high-performance-energy-efficient-modular-dma-engine-architecture"&gt;A High-Performance, Energy-Efficient Modular DMA Engine Architecture&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Thomas Benz, Michael Rogenmoser, Paul Scheffler, Samuel Riedel &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;</description></item><item><title>TCC 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tcc-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tcc-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="faasctrl-a-comprehensive-latency-controller-for-serverless-platforms"&gt;FaaSCtrl: A Comprehensive-Latency Controller for Serverless Platforms&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Abhisek Panda, Smruti R. Sarangi&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — FaaSCtrl is a feedback-control system for serverless platforms that jointly manages cold-start, queuing, and execution latency to meet end-to-end SLOs.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — One of the few serverless controllers that addresses all three latency components together, providing a principled alternative to ad-hoc autoscaling heuristics.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="fusionize-improving-serverless-application-performance-using-dynamic-task-inlining-and-infrastructure-optimization"&gt;FUSIONIZE++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Trever Schirmer, Joel Scheuner, Tobias Pfandzelter, David Bermbach&lt;/em&gt;&lt;/p&gt;</description></item><item><title>TOCS 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tocs-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tocs-2024/</guid><description>&lt;p&gt;8 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="pmalloc-a-holistic-approach-to-improving-persistent-memory-allocation"&gt;PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Zheng Dang, Shuibing He, Xuechen Zhang, Peiyi Hong &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — PMAlloc redesigns persistent memory allocation end-to-end, co-optimizing the allocator&amp;rsquo;s data structures, concurrency, and crash consistency to dramatically reduce allocation overhead.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — Persistent memory is still poorly understood at the allocator level; this paper offers a rare holistic treatment that will inform future PM software stacks.&lt;/p&gt;</description></item><item><title>TPDS 2024 Digest</title><link>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tpds-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tpds-2024/</guid><description>&lt;p&gt;12 papers selected.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="runtime-performance-anomaly-diagnosis-in-production-hpc-systems-using-active-learning"&gt;Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — An active-learning framework automatically diagnoses runtime performance anomalies in production HPC systems by querying targeted job profiles to minimize labeling effort.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why notable&lt;/strong&gt; — It bridges ML-based anomaly detection and operational HPC monitoring, demonstrating scalable root-cause identification on real supercomputer workloads.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="autoddl-automatic-distributed-deep-learning-with-near-optimal-bandwidth-cost"&gt;AutoDDL: Automatic Distributed Deep Learning With Near-Optimal Bandwidth Cost&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Jinfan Chen, Shigang Li 0002, Ran Guo, Jinhui Yuan &lt;em&gt;et al.&lt;/em&gt;&lt;/em&gt;&lt;/p&gt;</description></item></channel></rss>

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Verus: A Practical Foundation for Systems Verification Andrea Lattuada 0001, Travis Hance, Jay Bosamiya, Matthias Brun 0002 et al.
TL;DR — Verus is a Rust-based verification framework that makes formal proofs of low-level systems code tractable at scale, covering memory safety, functional correctness, and concurrency.
Why notable — Formal verification of real systems code has long been impractical; Verus closes the usability gap by integrating SMT-based proofs directly into a systems programming language, making it the most broadly applicable verification tool for the OS community to date.
...</p></div><footer class=entry-footer><span title='2024-11-05 00:00:00 +0000 UTC'>November 5, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SOSP 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sosp-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SoCC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
Queue Management for SLO-Oriented Large Language Model Serving Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu et al.
TL;DR — A queue management framework that enforces latency SLOs for LLM serving by dynamically routing and prioritizing requests across heterogeneous inference capacity.
Why notable — As LLM deployments move into production clouds, meeting strict time-to-first-token and total latency SLOs becomes critical; this work directly addresses that gap with a practical, deployable solution. It is one of the first papers to treat LLM serving as a cloud SLO-management problem rather than a pure model-optimization problem.
...</p></div><footer class=entry-footer><span title='2024-11-01 00:00:00 +0000 UTC'>November 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SoCC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/socc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>OSDI 2024 Digest</h2></header><div class=entry-content><p>11 papers selected.
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu et al.
TL;DR — Separates the compute-heavy prefill phase from the memory-bound decoding phase onto different GPU pools, eliminating head-of-line blocking and significantly improving LLM serving throughput.
Why notable — Became one of the most influential LLM systems papers of 2024; the prefill–decode disaggregation insight is now widely adopted in production inference stacks (vLLM, SGLang, etc.).
...</p></div><footer class=entry-footer><span title='2024-07-10 00:00:00 +0000 UTC'>July 10, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to OSDI 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/osdi-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>CCGrid 2024 Digest</h2></header><div class=entry-content><p>10 papers selected.
Fair, Efficient Multi-Resource Scheduling for Stateless Serverless Functions with Anubis Amit Samanta 0001, Ryan Stutsman
TL;DR — Anubis introduces a fair, multi-resource scheduler for stateless serverless functions that achieves efficiency without sacrificing isolation between tenants.
Why notable — Fairness in serverless resource allocation is an open problem as functions compete for heterogeneous resources (CPU, memory, I/O); Anubis provides a concrete, deployable answer. The work directly addresses a gap in production FaaS platforms where existing schedulers optimize for throughput but ignore per-tenant equity.
...</p></div><footer class=entry-footer><span title='2024-05-06 00:00:00 +0000 UTC'>May 6, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to CCGrid 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ccgrid-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>ATC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
FetchBPF: Customizable Prefetching Policies in Linux with eBPF Xuechun Cao, Shaurya Patel, Soo-Yee Lim, Xueyuan Han et al.
TL;DR — Extends eBPF into the page-fault / prefetch path, giving user-space programs a safe, low-overhead hook to install custom hardware-prefetch policies without kernel modifications.
Fast (Trapless) Kernel Probes Everywhere Jinghao Jia, Michael V. Le, Salman Ahmed 0001, Dan Williams 0001 et al.
TL;DR — Eliminates the trap-based overhead of kprobes by using binary rewriting to instrument kernel functions at near-zero cost, enabling always-on production tracing.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to ATC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/atc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>EuroSys 2024 Digest</h2></header><div class=entry-content><p>13 papers selected.
Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira et al.
TL;DR — Demonstrates how carefully orchestrated checkpointing can eliminate cold-start latency in serverless runtimes, achieving near-instant hot-starts with negligible overhead.
Serialization/Deserialization-free State Transfer in Serverless Workflows Fangming Lu, Xingda Wei, Zhuobin Huang, Rong Chen 0001 et al.
TL;DR — Eliminates the dominant serialization cost in serverless function chaining by enabling direct in-memory state passing, yielding large end-to-end latency reductions.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to EuroSys 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/eurosys-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>FGCS 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini et al.
TL;DR — A comprehensive roadmap from IBM, national labs, and universities identifying key algorithmic, software, and hardware challenges for using quantum processors alongside classical HPC to advance materials science simulations.
Why notable — Essential reading for any researcher planning quantum-classical hybrid workflows, covering the full stack from error mitigation to application mapping at scale.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to FGCS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/fgcs-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>HPDC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
Efficient all-to-all Collective Communication Schedules for Direct-connect Topologies Prithwish Basu, Liangyu Zhao, Jason Fantl, Siddharth Pal et al.
TL;DR — Derives near-optimal all-to-all collective communication schedules for direct-connect HPC topologies, directly improving bandwidth utilization in large-scale distributed systems.
Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field Isaac Boixaderas, Sergi Moré, Javier Bartolome, David Vicente et al.
TL;DR — Applies reinforcement learning to dynamically mitigate uncorrected DRAM errors at production HPC scale, improving system reliability without sacrificing performance.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to HPDC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/hpdc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>IC 2024 Digest</h2></header><div class=entry-content><p>10 papers selected.
Revisiting Edge AI: Opportunities and Challenges Tobias Meuser, Lauri Lovén, Monowar Bhuyan, Shishir G. Patil et al.
TL;DR — A multi-author position paper that revisits the state of edge AI, cataloguing deployment barriers and open research problems across hardware, networking, and software layers.
Why notable — Brings together 19 leading researchers to synthesize the field’s most pressing edge AI challenges, making it an authoritative reference for practitioners and researchers planning edge deployments.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to IC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ic-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>IPDPS 2024 Digest</h2></header><div class=entry-content><p>14 papers selected.
Low-Depth Spatial Tree Algorithms Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi et al.
TL;DR — Introduces parallel spatial-tree algorithms with provably low depth, advancing the theory of work-efficient parallel data structures for geometric workloads.
Alternative Basis Matrix Multiplication is Fast and Stable Oded Schwartz, Sivan Toledo, Noa Vaknin, Gal Wiernik
TL;DR — Demonstrates that alternative-basis matrix multiplication achieves both practical speed and numerical stability, challenging the conventional trade-off between the two.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to IPDPS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ipdps-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>JPDC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
Read/write fence-free work-stealing with multiplicity Armando Castañeda, Miguel Piña
TL;DR — Presents a work-stealing deque algorithm that eliminates read/write memory fences while tolerating multiplicity, achieving provably correct concurrent access without costly barriers.
Why notable — Advances the theoretical foundations of lock-free scheduler data structures by decoupling correctness from fence instructions, directly impacting runtime system design.
Reliable communication in dynamic networks with locally bounded byzantine faults Silvia Bonomi, Giovanni Farina, Sébastien Tixeuil
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to JPDC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>MobiSys 2024 Digest</h2></header><div class=entry-content><p>13 papers selected.
WAIS: Leveraging WiFi for Resource-Efficient SLAM Aditya Arun 0002, William Hunter, Roshan Sai Ayyalasomayajula, Dinesh Bharadia
TL;DR — Demonstrates that commodity WiFi signals can replace LiDAR for simultaneous localization and mapping, dramatically cutting the resource cost of robot/AR navigation.
UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing Xin Li 0070, Hongbo Wang, Zhe Chen 0015, Zhiping Jiang et al.
TL;DR — Extends standard Wi-Fi to UWB-class sensing resolution without hardware changes, enabling centimeter-level gesture and motion detection on existing infrastructure.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to MobiSys 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/mobisys-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>NSDI 2024 Digest</h2></header><div class=entry-content><p>13 papers selected.
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang et al.
TL;DR — ByteDance’s full production account of training LLMs at 10,000+ GPUs, with novel co-design of the network stack, fault tolerance, and collective communication to sustain near-linear scaling.
Harmony: A Congestion-free Datacenter Architecture Saksham Agarwal, Qizhe Cai, Rachit Agarwal 0001, David B. Shmoys et al.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to NSDI 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/nsdi-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SC 2024 Digest</h2></header><div class=entry-content><p>15 papers selected.
Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms Honghui Shang, Ying Liu 0055, Zhikun Wu, Zhenchuan Chen et al.
TL;DR — Gordon Bell-class result scaling ab initio Raman spectroscopy to 100 million atoms, pushing quantum-chemical simulation well beyond prior limits.
Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian et al.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SEC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds Amran Haroon
TL;DR — Introduces a multi-tenant edge orchestration system that captures resource dependencies across co-located workloads, demonstrating significant improvements in task completion latency and resource utilization.
Righteous: Automatic Right-Sizing for Complex Edge Deployments Aniruddha Rakshit
TL;DR — Presents an automated right-sizing framework for edge deployments that dynamically adjusts resource allocations to match workload demands without manual intervention.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SEC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sec-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
Achieving DRAM-Like PCM by Trading Off Capacity for Latency Irina Alam, Puneet Gupta 0001
TL;DR — Proposes a capacity-for-latency trade-off in Phase Change Memory to match DRAM-level access latency without specialized process changes.
Why notable — Offers a practical path to deploying PCM as a DRAM alternative, directly addressing the latency gap that has blocked PCM adoption in main-memory systems.
A High-Performance, Energy-Efficient Modular DMA Engine Architecture Thomas Benz, Michael Rogenmoser, Paul Scheffler, Samuel Riedel et al.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TCC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
FaaSCtrl: A Comprehensive-Latency Controller for Serverless Platforms Abhisek Panda, Smruti R. Sarangi
TL;DR — FaaSCtrl is a feedback-control system for serverless platforms that jointly manages cold-start, queuing, and execution latency to meet end-to-end SLOs.
Why notable — One of the few serverless controllers that addresses all three latency components together, providing a principled alternative to ad-hoc autoscaling heuristics.
FUSIONIZE++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization Trever Schirmer, Joel Scheuner, Tobias Pfandzelter, David Bermbach
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TCC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tcc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TOCS 2024 Digest</h2></header><div class=entry-content><p>8 papers selected.
PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation Zheng Dang, Shuibing He, Xuechen Zhang, Peiyi Hong et al.
TL;DR — PMAlloc redesigns persistent memory allocation end-to-end, co-optimizing the allocator’s data structures, concurrency, and crash consistency to dramatically reduce allocation overhead.
Why notable — Persistent memory is still poorly understood at the allocator level; this paper offers a rare holistic treatment that will inform future PM software stacks.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TOCS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tocs-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TPDS 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz et al.
TL;DR — An active-learning framework automatically diagnoses runtime performance anomalies in production HPC systems by querying targeted job profiles to minimize labeling effort.
Why notable — It bridges ML-based anomaly detection and operational HPC monitoring, demonstrating scalable root-cause identification on real supercomputer workloads.
AutoDDL: Automatic Distributed Deep Learning With Near-Optimal Bandwidth Cost Jinfan Chen, Shigang Li 0002, Ran Guo, Jinhui Yuan et al.
...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span>&nbsp;·&nbsp;<span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TPDS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tpds-2024/></a></article><footer class=page-footer><nav class=pagination><a class=prev href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/>«&nbsp;Prev&nbsp;</a></nav></footer></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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...</p></div><footer class=entry-footer><span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to Submission Deadlines" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/calendar/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>Venues</h2></header><div class=entry-content><p>Tracking 13 conferences and 7 journals for this domain.
Conferences → ranked by ICORE (A*, A, B, C) Journals → ranked by SCImago quartile (Q1–Q4)</p></div><footer class=entry-footer><span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to Venues" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/venues/></a></article></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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<!doctype html><html lang=en dir=auto data-theme=auto><head><meta charset=utf-8><meta http-equiv=X-UA-Compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=robots content="index, follow"><title>ATC | Publish Assistant</title><meta name=keywords content><meta name=description content="ACM SIGOPS Annual Technical Conference
ICORE Rank
C
Domains
edge-and-cloud, operating-systems, distributed-systems
Website
https://sigops.org/s/conferences/atc/2026/
Latest digest
ATC 2025
— 13 papers
Upcoming Deadline
Paper deadline
Jun 10, 2026
Notification
Sep 18, 2026
Camera-ready
Oct 16, 2026
Event dates
Nov 16-18, 2026
Location
Hong Kong
CFP
https://sigops.org/s/conferences/atc/2026/cfp.html
Previous Editions
ATC 2025
Papers digested
13
Topics
operating-systems, cloud, storage, networking
Digest
→ ATC 2025 Digest
ATC 2024
Papers digested
12
Digest
→ ATC 2024 Digest
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— 13 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Paper deadline</strong></td><td>Jun 10, 2026</td></tr><tr><td><strong>Notification</strong></td><td>Sep 18, 2026</td></tr><tr><td><strong>Camera-ready</strong></td><td>Oct 16, 2026</td></tr><tr><td><strong>Event dates</strong></td><td>Nov 16-18, 2026</td></tr><tr><td><strong>Location</strong></td><td>Hong Kong</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://sigops.org/s/conferences/atc/2026/cfp.html>https://sigops.org/s/conferences/atc/2026/cfp.html</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=atc-2025>ATC 2025<a hidden class=anchor aria-hidden=true href=#atc-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>13</td></tr><tr><td><strong>Topics</strong></td><td><code>operating-systems</code>, <code>cloud</code>, <code>storage</code>, <code>networking</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/atc-2025/>→ ATC 2025 Digest</a></td></tr></tbody></table><h3 id=atc-2024>ATC 2024<a hidden class=anchor aria-hidden=true href=#atc-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>12</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/atc-2024/>→ ATC 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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ICORE Rank
B
Domains
edge-and-cloud, cloud-computing, hpc, distributed-systems
Website
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Latest digest
CCGrid 2024
— 10 papers
Upcoming Deadline
Paper deadline
Dec 21, 2025
Notification
Feb 10, 2026
Camera-ready
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Event dates
May 18-21, 2026
Location
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CFP
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Previous Editions
CCGrid 2024
Papers digested
10
Topics
cloud-computing, distributed-systems, hpc
Digest
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— 10 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Paper deadline</strong></td><td>Dec 21, 2025</td></tr><tr><td><strong>Notification</strong></td><td>Feb 10, 2026</td></tr><tr><td><strong>Camera-ready</strong></td><td>Mar 15, 2026</td></tr><tr><td><strong>Event dates</strong></td><td>May 18-21, 2026</td></tr><tr><td><strong>Location</strong></td><td>Sydney, Australia</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://ccgrid2026.org/cfp.html>https://ccgrid2026.org/cfp.html</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=ccgrid-2024>CCGrid 2024<a hidden class=anchor aria-hidden=true href=#ccgrid-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>10</td></tr><tr><td><strong>Topics</strong></td><td><code>cloud-computing</code>, <code>distributed-systems</code>, <code>hpc</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/ccgrid-2024/>→ CCGrid 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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ICORE Rank
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EuroSys 2025
— 13 papers
Submission Cycles
Cycle
Abstract
Paper deadline
Notification
Camera-ready
Spring
May 7, 2026
May 14, 2026
Aug 21, 2026
Sep 25, 2026
Fall (next)
Sep 17, 2026
Sep 24, 2026
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Mar 5, 2027
Event dates
Apr 19-23, 2027
Location
Rabat, Morocco
CFP
https://2027.eurosys.org/cfp.html
Previous Editions
EuroSys 2025
Papers digested
13
Topics
operating-systems, distributed-systems, cloud, storage, memory, networking, llm-systems, security, hardware-software-co-design, serverless
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→ EuroSys 2025 Digest
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Papers digested
13
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→ EuroSys 2024 Digest
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— 13 papers</td></tr></tbody></table><h2 id=submission-cycles>Submission Cycles<a hidden class=anchor aria-hidden=true href=#submission-cycles>#</a></h2><table><thead><tr><th>Cycle</th><th>Abstract</th><th>Paper deadline</th><th>Notification</th><th>Camera-ready</th></tr></thead><tbody><tr><td>Spring</td><td>May 7, 2026</td><td>May 14, 2026</td><td>Aug 21, 2026</td><td>Sep 25, 2026</td></tr><tr><td><strong>Fall</strong> (next)</td><td>Sep 17, 2026</td><td>Sep 24, 2026</td><td>Jan 29, 2027</td><td>Mar 5, 2027</td></tr></tbody></table><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Event dates</strong></td><td>Apr 19-23, 2027</td></tr><tr><td><strong>Location</strong></td><td>Rabat, Morocco</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://2027.eurosys.org/cfp.html>https://2027.eurosys.org/cfp.html</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=eurosys-2025>EuroSys 2025<a hidden class=anchor aria-hidden=true href=#eurosys-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>13</td></tr><tr><td><strong>Topics</strong></td><td><code>operating-systems</code>, <code>distributed-systems</code>, <code>cloud</code>, <code>storage</code>, <code>memory</code>, <code>networking</code>, <code>llm-systems</code>, <code>security</code>, <code>hardware-software-co-design</code>, <code>serverless</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/eurosys-2025/>→ EuroSys 2025 Digest</a></td></tr></tbody></table><h3 id=eurosys-2024>EuroSys 2024<a hidden class=anchor aria-hidden=true href=#eurosys-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>13</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/eurosys-2024/>→ EuroSys 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-chevron-right"><polyline points="9 18 15 12 9 6"/></svg></nav><h1>HPDC</h1></header><div class="post-content md-content"><p><em>IEEE International Symposium on High Performance Distributed Computing</em></p><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>ICORE Rank</strong></td><td><strong>A</strong></td></tr><tr><td><strong>Domains</strong></td><td><code>edge-and-cloud</code>, <code>hpc</code>, <code>distributed-systems</code></td></tr><tr><td><strong>Website</strong></td><td><a href=https://www.hpdc.org/>https://www.hpdc.org/</a></td></tr><tr><td><strong>Latest digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/hpdc-2025/>HPDC 2025</a>
— 10 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Abstract deadline</strong></td><td>Jan 29, 2026</td></tr><tr><td><strong>Paper deadline</strong></td><td>Feb 5, 2026</td></tr><tr><td><strong>Notification</strong></td><td>Mar 31, 2026</td></tr><tr><td><strong>Camera-ready</strong></td><td>Apr 30, 2026</td></tr><tr><td><strong>Event dates</strong></td><td>Jul 13, 2026 - Jul 16, 2026</td></tr><tr><td><strong>Location</strong></td><td>Cleveland, OH, USA</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://hpdc.sci.utah.edu/2026/calls-cfp.html>https://hpdc.sci.utah.edu/2026/calls-cfp.html</a></td></tr><tr><td><strong>Source</strong></td><td><code>wikicfp:191029</code></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=hpdc-2025>HPDC 2025<a hidden class=anchor aria-hidden=true href=#hpdc-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>10</td></tr><tr><td><strong>Topics</strong></td><td><code>hpc</code>, <code>distributed-systems</code>, <code>networking</code>, <code>storage</code>, <code>scheduling</code>, <code>cloud-hpc</code>, <code>performance</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/hpdc-2025/>→ HPDC 2025 Digest</a></td></tr></tbody></table><h3 id=hpdc-2024>HPDC 2024<a hidden class=anchor aria-hidden=true href=#hpdc-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>12</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/hpdc-2024/>→ HPDC 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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ICORE Rank
A
Domains
edge-and-cloud, parallel-computing, distributed-systems
Website
https://www.ipdps.org/
Latest digest
IPDPS 2025
— 12 papers
Upcoming Deadline
Abstract deadline
Oct 1, 2026
Paper deadline
Oct 8, 2026
Notification
Feb 2, 2027
Camera-ready
Feb 20, 2027
Event dates
Jun 1-5, 2027
Location
Seattle, WA, USA
CFP
https://www.ipdps.org/ipdps2027/2027-call-for-papers.html
Previous Editions
IPDPS 2025
Papers digested
12
Topics
parallel-computing, hpc, distributed-systems, gpu
Digest
→ IPDPS 2025 Digest
IPDPS 2024
Papers digested
14
Digest
→ IPDPS 2024 Digest
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<a href=/vincent/publish-assistant/cloud-edge/venues/conferences/>Conferences</a>
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-chevron-right"><polyline points="9 18 15 12 9 6"/></svg></nav><h1>IPDPS</h1></header><div class="post-content md-content"><p><em>IEEE International Parallel and Distributed Processing Symposium</em></p><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>ICORE Rank</strong></td><td><strong>A</strong></td></tr><tr><td><strong>Domains</strong></td><td><code>edge-and-cloud</code>, <code>parallel-computing</code>, <code>distributed-systems</code></td></tr><tr><td><strong>Website</strong></td><td><a href=https://www.ipdps.org/>https://www.ipdps.org/</a></td></tr><tr><td><strong>Latest digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/ipdps-2025/>IPDPS 2025</a>
— 12 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Abstract deadline</strong></td><td>Oct 1, 2026</td></tr><tr><td><strong>Paper deadline</strong></td><td>Oct 8, 2026</td></tr><tr><td><strong>Notification</strong></td><td>Feb 2, 2027</td></tr><tr><td><strong>Camera-ready</strong></td><td>Feb 20, 2027</td></tr><tr><td><strong>Event dates</strong></td><td>Jun 1-5, 2027</td></tr><tr><td><strong>Location</strong></td><td>Seattle, WA, USA</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://www.ipdps.org/ipdps2027/2027-call-for-papers.html>https://www.ipdps.org/ipdps2027/2027-call-for-papers.html</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=ipdps-2025>IPDPS 2025<a hidden class=anchor aria-hidden=true href=#ipdps-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>12</td></tr><tr><td><strong>Topics</strong></td><td><code>parallel-computing</code>, <code>hpc</code>, <code>distributed-systems</code>, <code>gpu</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/ipdps-2025/>→ IPDPS 2025 Digest</a></td></tr></tbody></table><h3 id=ipdps-2024>IPDPS 2024<a hidden class=anchor aria-hidden=true href=#ipdps-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>14</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/ipdps-2024/>→ IPDPS 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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<!doctype html><html lang=en dir=auto data-theme=auto><head><meta charset=utf-8><meta http-equiv=X-UA-Compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=robots content="index, follow"><title>Middleware | Publish Assistant</title><meta name=keywords content><meta name=description content="ACM/IFIP/USENIX Middleware Conference
ICORE Rank
A
Domains
edge-and-cloud, distributed-systems
Website
https://middleware-conf.github.io/2026/
Latest digest
Middleware 2025
— 12 papers
Submission Cycles
Cycle
Abstract
Paper deadline
Notification
Camera-ready
Winter
Dec 9, 2025
Dec 12, 2025
Mar 6, 2026
Apr 24, 2026
Summer (next)
May 29, 2026
Jun 5, 2026
Aug 28, 2026
Oct 16, 2026
Event dates
Dec 14-18, 2026
Location
Tarragona, Spain
CFP
https://middleware-conf.github.io/2026/calls/call-for-research-papers/
Previous Editions
Middleware 2025
Papers digested
12
Digest
→ Middleware 2025 Digest
Middleware 2024
Papers digested
11
Topics
distributed-systems, edge-computing, cloud
Digest
→ Middleware 2024 Digest
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— 12 papers</td></tr></tbody></table><h2 id=submission-cycles>Submission Cycles<a hidden class=anchor aria-hidden=true href=#submission-cycles>#</a></h2><table><thead><tr><th>Cycle</th><th>Abstract</th><th>Paper deadline</th><th>Notification</th><th>Camera-ready</th></tr></thead><tbody><tr><td>Winter</td><td>Dec 9, 2025</td><td>Dec 12, 2025</td><td>Mar 6, 2026</td><td>Apr 24, 2026</td></tr><tr><td><strong>Summer</strong> (next)</td><td>May 29, 2026</td><td>Jun 5, 2026</td><td>Aug 28, 2026</td><td>Oct 16, 2026</td></tr></tbody></table><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Event dates</strong></td><td>Dec 14-18, 2026</td></tr><tr><td><strong>Location</strong></td><td>Tarragona, Spain</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://middleware-conf.github.io/2026/calls/call-for-research-papers/>https://middleware-conf.github.io/2026/calls/call-for-research-papers/</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=middleware-2025>Middleware 2025<a hidden class=anchor aria-hidden=true href=#middleware-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>12</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/middleware-2025/>→ Middleware 2025 Digest</a></td></tr></tbody></table><h3 id=middleware-2024>Middleware 2024<a hidden class=anchor aria-hidden=true href=#middleware-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>11</td></tr><tr><td><strong>Topics</strong></td><td><code>distributed-systems</code>, <code>edge-computing</code>, <code>cloud</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/middleware-2024/>→ Middleware 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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ICORE Rank
A
Domains
edge-and-cloud, mobile-computing, edge-computing
Website
https://www.sigmobile.org/mobisys/2026/
Latest digest
MobiSys 2025
— 12 papers
Upcoming Deadline
Abstract deadline
Nov 28, 2025
Paper deadline
Dec 5, 2025
Notification
Mar 2, 2026
Camera-ready
Apr 13, 2026
Event dates
Jun 22-24, 2026
Location
Cambridge, UK
CFP
https://www.sigmobile.org/mobisys/2026/
Previous Editions
MobiSys 2025
Papers digested
12
Topics
mobile-computing, edge-computing, networking
Digest
→ MobiSys 2025 Digest
MobiSys 2024
Papers digested
13
Digest
→ MobiSys 2024 Digest
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ICORE Rank A Domains edge-and-cloud, mobile-computing, edge-computing Website https://www.sigmobile.org/mobisys/2026/ Latest digest MobiSys 2025 — 12 papers Upcoming Deadline Abstract deadline Nov 28, 2025 Paper deadline Dec 5, 2025 Notification Mar 2, 2026 Camera-ready Apr 13, 2026 Event dates Jun 22-24, 2026 Location Cambridge, UK CFP https://www.sigmobile.org/mobisys/2026/ Previous Editions MobiSys 2025 Papers digested 12 Topics mobile-computing, edge-computing, networking Digest → MobiSys 2025 Digest MobiSys 2024 Papers digested 13 Digest → MobiSys 2024 Digest"><meta property="og:locale" content="en_us"><meta property="og:type" content="website"><meta name=twitter:card content="summary"><meta name=twitter:title content="MobiSys"><meta name=twitter:description content="ACM International Conference on Mobile Systems, Applications, and Services
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— 12 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Abstract deadline</strong></td><td>Nov 28, 2025</td></tr><tr><td><strong>Paper deadline</strong></td><td>Dec 5, 2025</td></tr><tr><td><strong>Notification</strong></td><td>Mar 2, 2026</td></tr><tr><td><strong>Camera-ready</strong></td><td>Apr 13, 2026</td></tr><tr><td><strong>Event dates</strong></td><td>Jun 22-24, 2026</td></tr><tr><td><strong>Location</strong></td><td>Cambridge, UK</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://www.sigmobile.org/mobisys/2026/>https://www.sigmobile.org/mobisys/2026/</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=mobisys-2025>MobiSys 2025<a hidden class=anchor aria-hidden=true href=#mobisys-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>12</td></tr><tr><td><strong>Topics</strong></td><td><code>mobile-computing</code>, <code>edge-computing</code>, <code>networking</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/mobisys-2025/>→ MobiSys 2025 Digest</a></td></tr></tbody></table><h3 id=mobisys-2024>MobiSys 2024<a hidden class=anchor aria-hidden=true href=#mobisys-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>13</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/mobisys-2024/>→ MobiSys 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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Latest digest
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Submission Cycles
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Previous Editions
NSDI 2025
Papers digested
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Topics
networking, distributed-systems, cloud, programmable-data-planes, network-verification, datacenter, transport, ml-systems, 5g
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NSDI 2024
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— 13 papers</td></tr></tbody></table><h2 id=submission-cycles>Submission Cycles<a hidden class=anchor aria-hidden=true href=#submission-cycles>#</a></h2><table><thead><tr><th>Cycle</th><th>Abstract</th><th>Paper deadline</th><th>Notification</th><th>Camera-ready</th></tr></thead><tbody><tr><td>Spring</td><td>Apr 16, 2026</td><td>Apr 23, 2026</td><td>Jul 23, 2026</td><td>Oct 20, 2026</td></tr><tr><td><strong>Fall</strong> (next)</td><td>Sep 10, 2026</td><td>Sep 17, 2026</td><td>Dec 8, 2026</td><td>Mar 4, 2027</td></tr></tbody></table><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Event dates</strong></td><td>May 11-13, 2027</td></tr><tr><td><strong>Location</strong></td><td>Providence, RI, USA</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://www.usenix.org/conference/nsdi27/call-for-papers>https://www.usenix.org/conference/nsdi27/call-for-papers</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=nsdi-2025>NSDI 2025<a hidden class=anchor aria-hidden=true href=#nsdi-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>13</td></tr><tr><td><strong>Topics</strong></td><td><code>networking</code>, <code>distributed-systems</code>, <code>cloud</code>, <code>programmable-data-planes</code>, <code>network-verification</code>, <code>datacenter</code>, <code>transport</code>, <code>ml-systems</code>, <code>5g</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/nsdi-2025/>→ NSDI 2025 Digest</a></td></tr></tbody></table><h3 id=nsdi-2024>NSDI 2024<a hidden class=anchor aria-hidden=true href=#nsdi-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>13</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/nsdi-2024/>→ NSDI 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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<a href=/vincent/publish-assistant/cloud-edge/venues/conferences/>Conferences</a>
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-chevron-right"><polyline points="9 18 15 12 9 6"/></svg></nav><h1>OSDI</h1></header><div class="post-content md-content"><p><em>USENIX Symposium on Operating Systems Design and Implementation</em></p><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>ICORE Rank</strong></td><td><strong>A*</strong></td></tr><tr><td><strong>Domains</strong></td><td><code>edge-and-cloud</code>, <code>operating-systems</code>, <code>distributed-systems</code></td></tr><tr><td><strong>Website</strong></td><td><a href=https://www.usenix.org/conference/osdi26>https://www.usenix.org/conference/osdi26</a></td></tr><tr><td><strong>Latest digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/osdi-2025/>OSDI 2025</a>
— 13 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Abstract deadline</strong></td><td>Dec 1, 2026</td></tr><tr><td><strong>Paper deadline</strong></td><td>Dec 8, 2026</td></tr><tr><td><strong>Notification</strong></td><td>Mar 16, 2027</td></tr><tr><td><strong>Camera-ready</strong></td><td>Jun 3, 2027</td></tr><tr><td><strong>Event dates</strong></td><td>Jul 7-9, 2027</td></tr><tr><td><strong>Location</strong></td><td>Baltimore, MD, USA</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://www.usenix.org/conference/osdi27/call-for-papers>https://www.usenix.org/conference/osdi27/call-for-papers</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=osdi-2025>OSDI 2025<a hidden class=anchor aria-hidden=true href=#osdi-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>13</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/osdi-2025/>→ OSDI 2025 Digest</a></td></tr></tbody></table><h3 id=osdi-2024>OSDI 2024<a hidden class=anchor aria-hidden=true href=#osdi-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>11</td></tr><tr><td><strong>Topics</strong></td><td><code>llm-serving</code>, <code>distributed-systems</code>, <code>verification</code>, <code>memory</code>, <code>networking</code>, <code>storage</code></td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/osdi-2024/>→ OSDI 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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ICORE Rank
A
Domains
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Website
https://sc24.supercomputing.org/
Latest digest
SC 2025
— 15 papers
Upcoming Deadline
Abstract deadline
Apr 1, 2026
Paper deadline
Apr 8, 2026
Notification
Jul 1, 2026
Camera-ready
Aug 28, 2026
Event dates
Nov 15-20, 2026
Location
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CFP
https://sc26.supercomputing.org/program/papers/
Previous Editions
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Papers digested
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Papers digested
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<a href=/vincent/publish-assistant/cloud-edge/venues/conferences/>Conferences</a>
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-chevron-right"><polyline points="9 18 15 12 9 6"/></svg></nav><h1>SC</h1></header><div class="post-content md-content"><p><em>International Conference for High Performance Computing, Networking, Storage and Analysis</em></p><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>ICORE Rank</strong></td><td><strong>A</strong></td></tr><tr><td><strong>Domains</strong></td><td><code>edge-and-cloud</code>, <code>hpc</code>, <code>distributed-systems</code></td></tr><tr><td><strong>Website</strong></td><td><a href=https://sc24.supercomputing.org/>https://sc24.supercomputing.org/</a></td></tr><tr><td><strong>Latest digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/sc-2025/>SC 2025</a>
— 15 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Abstract deadline</strong></td><td>Apr 1, 2026</td></tr><tr><td><strong>Paper deadline</strong></td><td>Apr 8, 2026</td></tr><tr><td><strong>Notification</strong></td><td>Jul 1, 2026</td></tr><tr><td><strong>Camera-ready</strong></td><td>Aug 28, 2026</td></tr><tr><td><strong>Event dates</strong></td><td>Nov 15-20, 2026</td></tr><tr><td><strong>Location</strong></td><td>Chicago, IL, USA</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://sc26.supercomputing.org/program/papers/>https://sc26.supercomputing.org/program/papers/</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=sc-2025>SC 2025<a hidden class=anchor aria-hidden=true href=#sc-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>15</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/sc-2025/>→ SC 2025 Digest</a></td></tr></tbody></table><h3 id=sc-2024>SC 2024<a hidden class=anchor aria-hidden=true href=#sc-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>15</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/sc-2024/>→ SC 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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ICORE Rank
unranked
Domains
edge-and-cloud, edge-computing
Website
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Latest digest
SEC 2025
— 12 papers
Upcoming Deadline
Paper deadline
May 8, 2026
Notification
Jul 29, 2026
Camera-ready
Sep 4, 2026
Event dates
Oct 13-16, 2026
CFP
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Previous Editions
SEC 2025
Papers digested
12
Digest
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SEC 2024
Papers digested
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ICORE Rank unranked Domains edge-and-cloud, edge-computing Website https://acm-ieee-sec.org/2026/ Latest digest SEC 2025 — 12 papers Upcoming Deadline Paper deadline May 8, 2026 Notification Jul 29, 2026 Camera-ready Sep 4, 2026 Event dates Oct 13-16, 2026 CFP https://acm-ieee-sec.org/2026/ Previous Editions SEC 2025 Papers digested 12 Digest → SEC 2025 Digest SEC 2024 Papers digested 12 Digest → SEC 2024 Digest"><script type=application/ld+json>{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Edge and Cloud Systems","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/"},{"@type":"ListItem","position":2,"name":"Venues","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/venues/"},{"@type":"ListItem","position":3,"name":"Conferences","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/venues/conferences/"},{"@type":"ListItem","position":4,"name":"SEC","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/venues/conferences/sec/"}]}</script></head><body class=list id=top><header class=header><nav class=header-nav><div class=logo><a href=https://pub.sqrt.fr/vincent/publish-assistant/ accesskey=h title="Publish Assistant (Alt + H)">Publish Assistant</a>
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<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-chevron-right"><polyline points="9 18 15 12 9 6"/></svg>
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<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-chevron-right"><polyline points="9 18 15 12 9 6"/></svg></nav><h1>SEC</h1></header><div class="post-content md-content"><p><em>IEEE/ACM Symposium on Edge Computing</em></p><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>ICORE Rank</strong></td><td><strong>unranked</strong></td></tr><tr><td><strong>Domains</strong></td><td><code>edge-and-cloud</code>, <code>edge-computing</code></td></tr><tr><td><strong>Website</strong></td><td><a href=https://acm-ieee-sec.org/2026/>https://acm-ieee-sec.org/2026/</a></td></tr><tr><td><strong>Latest digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/sec-2025/>SEC 2025</a>
— 12 papers</td></tr></tbody></table><h2 id=upcoming-deadline>Upcoming Deadline<a hidden class=anchor aria-hidden=true href=#upcoming-deadline>#</a></h2><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Paper deadline</strong></td><td>May 8, 2026</td></tr><tr><td><strong>Notification</strong></td><td>Jul 29, 2026</td></tr><tr><td><strong>Camera-ready</strong></td><td>Sep 4, 2026</td></tr><tr><td><strong>Event dates</strong></td><td>Oct 13-16, 2026</td></tr><tr><td><strong>CFP</strong></td><td><a href=https://acm-ieee-sec.org/2026/>https://acm-ieee-sec.org/2026/</a></td></tr></tbody></table><h2 id=previous-editions>Previous Editions<a hidden class=anchor aria-hidden=true href=#previous-editions>#</a></h2><h3 id=sec-2025>SEC 2025<a hidden class=anchor aria-hidden=true href=#sec-2025>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>12</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/sec-2025/>→ SEC 2025 Digest</a></td></tr></tbody></table><h3 id=sec-2024>SEC 2024<a hidden class=anchor aria-hidden=true href=#sec-2024>#</a></h3><table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Papers digested</strong></td><td>12</td></tr><tr><td><strong>Digest</strong></td><td><a href=/vincent/publish-assistant/cloud-edge/digests/sec-2024/>→ SEC 2024 Digest</a></td></tr></tbody></table></div></main><footer class=footer><span>&copy; 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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