content updates, various fixes

site/content/digests/EuroSys-2024/index.md

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+---
+title: EuroSys 2024 Digest
+venue: EuroSys
+year: 2024
+date: '2024-01-01'
+tags: []
+paper_count: 13
+draft: false
+---
+
+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.
+
+---
+
+### SplitFT: Fault Tolerance for Disaggregated Datacenters via Remote Memory Logging
+
+*Xuhao Luo, Ramnatthan Alagappan, Aishwarya Ganesan*
+
+**TL;DR** — Proposes a principled fault-tolerance design for disaggregated datacenters that exploits the new memory-compute split to recover from failures with low overhead.
+
+---
+
+### Puddles: Application-Independent Recovery and Location-Independent Data for Persistent Memory
+
+*Suyash Mahar, Mingyao Shen, TJ Smith, Joseph Izraelevitz *et al.**
+
+**TL;DR** — Provides transparent crash consistency and data relocation for persistent memory without requiring application changes, easing adoption of PM-backed storage.
+
+---
+
+### Enoki: High Velocity Linux Kernel Scheduler Development
+
+*Samantha Miller, Anirudh Kumar, Tanay Vakharia, Ang Chen 0001 *et al.**
+
+**TL;DR** — Enables safe, rapid iteration on Linux CPU schedulers by isolating scheduling logic in user space while keeping kernel integration, dramatically lowering the development barrier.
+
+---
+
+### Transparent Multicore Scaling of Single-Threaded Network Functions
+
+*Lei Yan 0003, Yueyang Pan, Diyu Zhou, George Candea *et al.**
+
+**TL;DR** — Automatically parallelizes unmodified single-threaded network functions across cores with correctness guarantees, delivering near-linear throughput scaling without code changes.
+
+---
+
+### Hoda: a High-performance Open vSwitch Dataplane with Multiple Specialized Data Paths
+
+*Heng Pan, Peng He 0003, Zhenyu Li 0001, Pan Zhang *et al.**
+
+**TL;DR** — Redesigns the Open vSwitch dataplane with multiple specialized fast paths, achieving significant throughput improvements for cloud virtual networking.
+
+---
+
+### SmartNIC Security Isolation in the Cloud with S-NIC
+
+*Yang Zhou 0008, Mark Wilkening, James Mickens, Minlan Yu*
+
+**TL;DR** — Introduces hardware-enforced security isolation for SmartNIC offload tasks in multi-tenant clouds, preventing cross-tenant attacks without sacrificing offload performance.
+
+---
+
+### Finding Correctness Bugs in eBPF Verifier with Structured and Sanitized Program
+
+*Hao Sun 0021, Yiru Xu, Jianzhong Liu, Yuheng Shen *et al.**
+
+**TL;DR** — Systematically uncovers verifier logic bugs that can silently allow unsafe eBPF programs to execute in the kernel, with a structured fuzzing approach validated on the Linux eBPF verifier.
+
+---
+
+### CSAL: the Next-Gen Local Disks for the Cloud
+
+*Yanbo Zhou, Erci Xu, Li Zhang, Kapil Karkra *et al.**
+
+**TL;DR** — Describes a production cloud local-disk system that replaces raw NVMe with a software-defined layer to deliver better performance, reliability, and operational flexibility at hyperscale.
+
+---
+
+### Volley: Accelerating Write-Read Orders in Disaggregated Storage
+
+*Shaoxun Zeng, Xiaojian Liao, Hao Guo, Youyou Lu*
+
+**TL;DR** — Addresses write-read ordering hazards in disaggregated storage by pipelining acknowledgements with read-side tracking, substantially reducing tail latency without weakening durability.
+
+---
+
+### Erlang: Application-Aware Autoscaling for Cloud Microservices
+
+*Vighnesh Sachidananda, Anirudh Sivaraman*
+
+**TL;DR** — Leverages application-level call-graph semantics to make autoscaling decisions that are both faster and more accurate than black-box reactive policies, cutting SLO violations in microservice deployments.
+
+---
+
+### Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
+
+*Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang 0006 *et al.**
+
+**TL;DR** — Demonstrates an LLM-driven pipeline for automated cloud-incident root cause analysis deployed at Microsoft Azure, showing strong recall and significant reduction in on-call engineer effort.
+