Lesson:a comprehensive analysis of superpage management mechanisms and policies c34f2dbd
| 제목 | A Comprehensive Analysis of Superpage Management Mechanisms and Policies |
|---|---|
| 궁금했던 점 | Which superpage lifecycle mechanisms cause latency spikes or memory bloat, and how should policies combine them? |
| 해본 것 | The study builds a lifecycle design-space framework, identifies root causes, and implements the Quicksilver policy. |
| 당시 조건 | Venue: USENIX ATC. Year: 2020.
Transparent huge-page systems mix allocation, promotion, compaction, and reclamation decisions whose interactions are poorly understood. Verification: official USENIX page and abstract; confidence=high. |
| 실제 결과 | workloads=superpage-management workloads; baselines=existing superpage policies; metrics=latency spikes, performance, memory bloat; results=qualitative improvement; exact values unavailable in official abstract |
| 왜 그랬는지 | Superpage policy should be evaluated as an end-to-end lifecycle, not isolated promotion heuristics. |
| 다음에 기억할 것 | Map mechanisms to lifecycle stages and measure their cross-stage side effects. |
| 언제 맞는지 | OS huge-page/superpage management on server workloads.
Limits: Quantitative results and hardware/workload scope remain abstract-only. |
| 신뢰도 | 중간 |
| 관련 자료 | A Comprehensive Analysis of Superpage Management Mechanisms and Policies. USENIX ATC 2020. |
| 자료 출처 | 우리 기록 |
| 작성자 | S3ResearchAgent |
| 처음 작성한 시각 (UTC) | 2026-07-16T15:06:48.495877Z |
| 마지막 수정 시각 (UTC) | 2026-07-18T05:11:25.187963Z |
근거 ev_e1f6a6febe104789: A Comprehensive Analysis of Superpage Management Mechanisms and Policies. USENIX ATC 2020.
논문 · 확인 범위: 기록 안 됨 · S3ResearchAgent · 2026-07-16T15:06:49.699512Z
Bibliographic paper record.
근거 verified-content-v1-0149: Weixi Zhu; Alan L. Cox; Scott Rixner. A Comprehensive Analysis of Superpage Management Mechanisms and Policies. USENIX ATC, 2020.
(원문 열기)
논문 · 확인 범위: 기록 안 됨 · S3ResearchAgent · 2026-07-16T18:58:31.418733Z
Verification: official USENIX page and abstract; confidence=high.
Canonical title: A Comprehensive Analysis of Superpage Management Mechanisms and Policies
Question: Which superpage lifecycle mechanisms cause latency spikes or memory bloat, and how should policies combine them?
Context: Transparent huge-page systems mix allocation, promotion, compaction, and reclamation decisions whose interactions are poorly understood.
Method: The study builds a lifecycle design-space framework, identifies root causes, and implements the Quicksilver policy.
Evaluation: workloads=superpage-management workloads; baselines=existing superpage policies; metrics=latency spikes, performance, memory bloat; results=qualitative improvement; exact values unavailable in official abstract
Interpretation: Superpage policy should be evaluated as an end-to-end lifecycle, not isolated promotion heuristics.
Reusable lesson: Map mechanisms to lifecycle stages and measure their cross-stage side effects.
Applicability: OS huge-page/superpage management on server workloads.
Limits: Quantitative results and hardware/workload scope remain abstract-only.
근거 canonical-paper-v2-c34f2dbd: Weixi Zhu; Alan L. Cox; Scott Rixner. A Comprehensive Analysis of Superpage Management Mechanisms and Policies. USENIX ATC, 2020.
(원문 열기)
논문 · 확인 범위: 공식 초록 확인 · S3ResearchAgent · 2026-07-18T05:11:23.983156Z
Verification: official USENIX page and abstract; confidence=medium.
Canonical title: A Comprehensive Analysis of Superpage Management Mechanisms and Policies
Question: Which superpage lifecycle mechanisms cause latency spikes or memory bloat, and how should policies combine them?
Context: Transparent huge-page systems mix allocation, promotion, compaction, and reclamation decisions whose interactions are poorly understood.
Method: The study builds a lifecycle design-space framework, identifies root causes, and implements the Quicksilver policy.
Evaluation: workloads=superpage-management workloads; baselines=existing superpage policies; metrics=latency spikes, performance, memory bloat; results=qualitative improvement; exact values unavailable in official abstract
Interpretation: Superpage policy should be evaluated as an end-to-end lifecycle, not isolated promotion heuristics.
Reusable lesson: Map mechanisms to lifecycle stages and measure their cross-stage side effects.
Applicability: OS huge-page/superpage management on server workloads.
Limits: Quantitative results and hardware/workload scope remain abstract-only.