content updates, various fixes

site/data/papers/SoCC-2025-digest.yaml

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+venue: SoCC
+year: 2025
+papers:
+- title: 'From Bottleneck to Breakthrough: Optimizing Scheduling for Hyperscale Containerized
+    Clusters'
+  authors:
+  - Bing Li
+  - Yuquan Ren
+  - Xinyi Song
+  - Zhilei Liu
+  - Cong Xu
+  - Jingyuan Zhang
+  - Caixue Lin
+  - Wu Xiang
+  - Rui Shi
+  reason: "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."
+- title: 'CPU-Limits kill Performance: Time to rethink Resource Control'
+  authors:
+  - Chirag C. Shetty
+  - Sarthak Chakraborty
+  - Hubertus Franke
+  - Larisa Shwartz
+  - Chandra Narayanaswami
+  - Indranil Gupta
+  - Saurabh Jha
+  reason: "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."
+- title: Rethinking Tiered Memory Management in Cloud Data Centers
+  authors:
+  - Tong Xing 0002
+  - Jiaxun Yang
+  - Javier Picorel
+  - Antonio Barbalace
+  reason: "Proposes a novel tiered memory management framework for cloud data centers that improves performance by rethinking the placement and migration policies across DRAM and CXL/NVM tiers."
+- title: Cost-Efficient Cloud Infrastructure with Hugepage-aware Memory Deduplication
+  authors:
+  - Ruizhe Huang
+  - Xinyu Wang 0043
+  - Zhida An
+  - Hanwen Lei
+  - Peng Jiang 0007
+  - Ziqi Zhang
+  - Ding Li 0001
+  - Yao Guo 0001
+  - Xiangqun Chen
+  - Yuntao Liu
+  - Kang Zhou
+  - Yuxin Ren 0001
+  - Ning Jia 0004
+  - Xinwei Hu
+  reason: "Deploys hugepage-aware memory deduplication in a large production cloud, achieving significant memory savings without the performance regressions that plague conventional THP-based deduplication."
+- title: 'ALAP: Intent-Based Serverless Computing via Delayed Decision-Making'
+  authors:
+  - Prasoon Sinha
+  - Kostis Kaffes
+  - Neeraja J. Yadwadkar
+  reason: "Introduces an intent-based programming model for serverless that defers scheduling decisions until runtime context is available, improving resource efficiency and SLO attainment over eager placement strategies."
+- title: 'Hydra: Virtualized Multi-Language Runtime for High-Density Serverless Platforms'
+  authors:
+  - Serhii Ivanenko
+  - Vasyl Lanko
+  - Rudi Horn
+  - Vojin Jovanovic
+  - Rodrigo Bruno
+  reason: "Presents a virtualized runtime that multiplexes multiple language environments within a single sandbox, enabling higher function density and faster cold starts on serverless platforms."
+- title: 'Serverless Elasticsearch: the Architecture Transformation from Stateful to
+    Stateless'
+  authors:
+  - Iraklis Psaroudakis
+  - Pooya Salehi
+  - Jason Bryan
+  - Francisco Fernández Castaño
+  - Brendan Cully
+  - Ankita Kumar
+  - Henning Andersen
+  - Thomas Repantis
+  reason: "Describes Elastic's production migration of Elasticsearch to a serverless, stateless architecture, sharing engineering lessons on decoupling compute from state at cloud scale."
+- title: 'DFUSE: Strongly Consistent Write-Back Kernel Caching for Distributed Userspace
+    File Systems'
+  authors:
+  - Haoyu Li
+  - Jingkai Fu
+  - Qing Li 0002
+  - Windsor Hsu
+  - Asaf Cidon
+  reason: "Closes a long-standing gap in FUSE-based distributed file systems by enabling strongly consistent write-back caching in the kernel, significantly improving throughput without sacrificing correctness."
+- title: Accelerating Distributed Filesystem Metadata Service via Decoupling Directory
+    Semantics from Metadata Indexing
+  authors:
+  - Wenhao Lv
+  - Hao Guo
+  - Qing Wang 0031
+  - Youyou Lu
+  - Jiwu Shu
+  reason: "Achieves scalable distributed filesystem metadata by separating directory namespace semantics from the underlying index structure, reducing contention and improving throughput for large-scale cloud storage."
+- title: 'Valet: Efficient Data Placement on Modern SSDs'
+  authors:
+  - Devashish R. Purandare
+  - Peter Alvaro
+  - Avani Wildani
+  - Darrell D. E. Long
+  - Ethan L. Miller
+  reason: "Exploits fine-grained internal SSD geometry to make smarter data placement decisions, yielding measurable I/O performance gains without changes to the host storage stack."
+- title: 'Understanding Diffusion Model Serving in Production: A Top-Down Analysis
+    of Workload, Scheduling, and Resource Efficiency'
+  authors:
+  - Yanying Lin
+  - Shuaipeng Wu
+  - Shutian Luo
+  - Hong Xu 0001
+  - Haiying Shen
+  - Chong Ma
+  - Min Shen
+  - Le Chen
+  - Chengzhong Xu 0001
+  - Lin Qu
+  - Kejiang Ye
+  reason: "Provides the first comprehensive production characterization of diffusion model inference workloads, revealing unique scheduling and resource efficiency challenges distinct from LLM serving."
+- title: 'ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable
+    Multimodal Model Serving'
+  authors:
+  - Haoran Qiu
+  - Anish Biswas
+  - Zihan Zhao
+  - Jayashree Mohan
+  - Alind Khare
+  - Esha Choukse
+  - Íñigo Goiri
+  - Zeyu Zhang 0005
+  - Haiying Shen
+  - Chetan Bansal
+  - Ramachandran Ramjee
+  - Rodrigo Fonseca
+  reason: "Disaggregates compute resources per modality and pipeline stage for multimodal inference, with a Microsoft production deployment showing improved GPU utilization and latency over monolithic serving."
+- title: 'THORN-ML: Transparent Hardware Offloaded Resilient Networks for RDMA based
+    Distributed ML Workloads'
+  authors:
+  - Maziyar Nazari
+  - Daniel Noland
+  - Giulio Sidoretti
+  - Erika Hunhoff
+  - Tamara Silbergleit Lehman
+  - Eric Keller
+  reason: "Offloads RDMA fault detection and recovery to programmable network hardware, making distributed ML training resilient to network failures without modifying the training framework or incurring software overhead."