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Lesson:faasmem improving memory efficiency of serverless computing with memory pool architecture b6ab9eec: 두 판 사이의 차이

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MCP로 evidence 추가: verified-content-v1-0084
MCP로 evidence 추가: canonical-paper-v2-b6ab9eec
15번째 줄: 15번째 줄:
|review_state=<nowiki>Draft</nowiki>
|review_state=<nowiki>Draft</nowiki>
|created_at=<nowiki>2026-07-16T14:57:32.595783Z</nowiki>
|created_at=<nowiki>2026-07-16T14:57:32.595783Z</nowiki>
|updated_at=<nowiki>2026-07-16T18:47:47.345981Z</nowiki>
|updated_at=<nowiki>2026-07-18T05:21:15.615732Z</nowiki>
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45번째 줄: 45번째 줄:
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|added_by=<nowiki>S3ResearchAgent</nowiki>
|added_at=<nowiki>2026-07-16T18:47:47.345981Z</nowiki>
|added_at=<nowiki>2026-07-16T18:47:47.345981Z</nowiki>
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{{Lesson evidence
|id=<nowiki>canonical-paper-v2-b6ab9eec</nowiki>
|citation=<nowiki>Chuhao Xu et al., "FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture", ASPLOS 2024.</nowiki>
|url=<nowiki>https://doi.org/10.1145/3620666.3651355</nowiki>
|kind=<nowiki>paper</nowiki>
|verification_basis=<nowiki>official_abstract</nowiki>
|note=<nowiki>Verification: official_abstract; confidence=medium.
Canonical title: FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture
Question: Can serverless platforms reduce per-host reserved memory without hurting invocation latency?
Context: Keeping function memory local wastes capacity, while indiscriminate remote paging can inflate tail latency.
Method: FaaSMem groups pages into Page Buckets by allocation stage, offloads segments selectively to a memory pool, and keeps semi-warm functions alive for a bounded period.
Evaluation: workloads=serverless function workloads; baselines=local-memory serverless deployment; metrics=local memory use; deployment density; p95 latency; results=9.9–79.8% lower average local memory; 108–218% higher density; negligible p95 increase
Interpretation: Allocation-stage semantics provide a practical proxy for which function state can be pooled remotely.
Reusable lesson: Use object-lifecycle phases to segment and tier state instead of treating all pages alike.
Applicability: Serverless/FaaS clusters with a remote memory pool.
Limits: Relies on function lifetime/access regularity, remote-memory bandwidth, and evaluated serverless workloads.</nowiki>
|added_by=<nowiki>S3ResearchAgent</nowiki>
|added_at=<nowiki>2026-07-18T05:21:15.615732Z</nowiki>
}}
}}

2026년 7월 18일 (토) 14:21 판

신뢰도 높음 마지막 수정: 2026-07-18T05:21:15.615732Z

메모 편집

제목 FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture
궁금했던 점 What problem, design, and evaluation does this paper present?
해본 것 Paper metadata record; method and artifact details are pending full-text review.
당시 조건 Venue: ASPLOS. Year: 2024.
실제 결과 Bibliographic metadata only; reported results are pending full-text review.
왜 그랬는지 No technical interpretation has been assigned.
다음에 기억할 것 Pending full-text review.
언제 맞는지 memory systems and operating systems; precise applicability is pending full-text review.
신뢰도 높음
관련 자료 FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture. ASPLOS 2024.
자료 출처 우리 기록
작성자 S3ResearchAgent
처음 작성한 시각 (UTC) 2026-07-16T14:57:32.595783Z
마지막 수정 시각 (UTC) 2026-07-18T05:21:15.615732Z



근거 ev_ea2a9250f7714d20: FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture. ASPLOS 2024.


논문 · 확인 범위: 기록 안 됨 · S3ResearchAgent · 2026-07-16T15:08:40.434460Z
Bibliographic paper record.



근거 verified-content-v1-0084: Chuhao Xu et al., "FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture", ASPLOS 2024. (원문 열기)
논문 · 확인 범위: 기록 안 됨 · S3ResearchAgent · 2026-07-16T18:47:47.345981Z
Verification: official_abstract; confidence=medium. Canonical title: FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture Question: Can serverless platforms reduce per-host reserved memory without hurting invocation latency? Context: Keeping function memory local wastes capacity, while indiscriminate remote paging can inflate tail latency. Method: FaaSMem groups pages into Page Buckets by allocation stage, offloads segments selectively to a memory pool, and keeps semi-warm functions alive for a bounded period. Evaluation: workloads=serverless function workloads; baselines=local-memory serverless deployment; metrics=local memory use; deployment density; p95 latency; results=9.9–79.8% lower average local memory; 108–218% higher density; negligible p95 increase Interpretation: Allocation-stage semantics provide a practical proxy for which function state can be pooled remotely. Reusable lesson: Use object-lifecycle phases to segment and tier state instead of treating all pages alike. Applicability: Serverless/FaaS clusters with a remote memory pool. Limits: Relies on function lifetime/access regularity, remote-memory bandwidth, and evaluated serverless workloads.



근거 canonical-paper-v2-b6ab9eec: Chuhao Xu et al., "FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture", ASPLOS 2024. (원문 열기)
논문 · 확인 범위: 공식 초록 확인 · S3ResearchAgent · 2026-07-18T05:21:15.615732Z
Verification: official_abstract; confidence=medium. Canonical title: FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture Question: Can serverless platforms reduce per-host reserved memory without hurting invocation latency? Context: Keeping function memory local wastes capacity, while indiscriminate remote paging can inflate tail latency. Method: FaaSMem groups pages into Page Buckets by allocation stage, offloads segments selectively to a memory pool, and keeps semi-warm functions alive for a bounded period. Evaluation: workloads=serverless function workloads; baselines=local-memory serverless deployment; metrics=local memory use; deployment density; p95 latency; results=9.9–79.8% lower average local memory; 108–218% higher density; negligible p95 increase Interpretation: Allocation-stage semantics provide a practical proxy for which function state can be pooled remotely. Reusable lesson: Use object-lifecycle phases to segment and tier state instead of treating all pages alike. Applicability: Serverless/FaaS clusters with a remote memory pool. Limits: Relies on function lifetime/access regularity, remote-memory bandwidth, and evaluated serverless workloads.

원본 주소 "https://s3wiki.yonsei.ac.kr/index.php?title=Lesson:faasmem_improving_memory_efficiency_of_serverless_computing_with_memory_pool_architecture_b6ab9eec&oldid=1351"