Vincent Lannurien
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117 lines
4.4 KiB
Markdown
117 lines
4.4 KiB
Markdown
---
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title: EuroSys 2024 Digest
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venue: EuroSys
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year: 2024
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date: '2024-01-01'
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tags: []
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paper_count: 13
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draft: false
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---
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13 papers selected.
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### Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts
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*Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira *et al.**
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**TL;DR** — Demonstrates how carefully orchestrated checkpointing can eliminate cold-start latency in serverless runtimes, achieving near-instant hot-starts with negligible overhead.
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### Serialization/Deserialization-free State Transfer in Serverless Workflows
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*Fangming Lu, Xingda Wei, Zhuobin Huang, Rong Chen 0001 *et al.**
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**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.
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### SplitFT: Fault Tolerance for Disaggregated Datacenters via Remote Memory Logging
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*Xuhao Luo, Ramnatthan Alagappan, Aishwarya Ganesan*
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**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.
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### Puddles: Application-Independent Recovery and Location-Independent Data for Persistent Memory
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*Suyash Mahar, Mingyao Shen, TJ Smith, Joseph Izraelevitz *et al.**
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**TL;DR** — Provides transparent crash consistency and data relocation for persistent memory without requiring application changes, easing adoption of PM-backed storage.
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### Enoki: High Velocity Linux Kernel Scheduler Development
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*Samantha Miller, Anirudh Kumar, Tanay Vakharia, Ang Chen 0001 *et al.**
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**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.
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### Transparent Multicore Scaling of Single-Threaded Network Functions
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*Lei Yan 0003, Yueyang Pan, Diyu Zhou, George Candea *et al.**
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**TL;DR** — Automatically parallelizes unmodified single-threaded network functions across cores with correctness guarantees, delivering near-linear throughput scaling without code changes.
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### Hoda: a High-performance Open vSwitch Dataplane with Multiple Specialized Data Paths
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*Heng Pan, Peng He 0003, Zhenyu Li 0001, Pan Zhang *et al.**
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**TL;DR** — Redesigns the Open vSwitch dataplane with multiple specialized fast paths, achieving significant throughput improvements for cloud virtual networking.
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### SmartNIC Security Isolation in the Cloud with S-NIC
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*Yang Zhou 0008, Mark Wilkening, James Mickens, Minlan Yu*
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**TL;DR** — Introduces hardware-enforced security isolation for SmartNIC offload tasks in multi-tenant clouds, preventing cross-tenant attacks without sacrificing offload performance.
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### Finding Correctness Bugs in eBPF Verifier with Structured and Sanitized Program
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*Hao Sun 0021, Yiru Xu, Jianzhong Liu, Yuheng Shen *et al.**
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**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.
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### CSAL: the Next-Gen Local Disks for the Cloud
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*Yanbo Zhou, Erci Xu, Li Zhang, Kapil Karkra *et al.**
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**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.
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### Volley: Accelerating Write-Read Orders in Disaggregated Storage
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*Shaoxun Zeng, Xiaojian Liao, Hao Guo, Youyou Lu*
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**TL;DR** — Addresses write-read ordering hazards in disaggregated storage by pipelining acknowledgements with read-side tracking, substantially reducing tail latency without weakening durability.
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### Erlang: Application-Aware Autoscaling for Cloud Microservices
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*Vighnesh Sachidananda, Anirudh Sivaraman*
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**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.
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### Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
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*Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang 0006 *et al.**
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**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.
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