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Lesson:fast trapless kernel probes everywhere 781e739b: 두 판 사이의 차이

S3 연구 메모리
MCP로 evidence 추가: ev_c883f449ecef42a1
MCP로 evidence 추가: verified-content-v1-0080
15번째 줄: 15번째 줄:
|review_state=<nowiki>Draft</nowiki>
|review_state=<nowiki>Draft</nowiki>
|created_at=<nowiki>2026-07-16T14:57:24.685814Z</nowiki>
|created_at=<nowiki>2026-07-16T14:57:24.685814Z</nowiki>
|updated_at=<nowiki>2026-07-16T14:57:25.781840Z</nowiki>
|updated_at=<nowiki>2026-07-16T18:47:14.835926Z</nowiki>
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26번째 줄: 26번째 줄:
|added_by=<nowiki>S3ResearchAgent</nowiki>
|added_by=<nowiki>S3ResearchAgent</nowiki>
|added_at=<nowiki>2026-07-16T14:57:25.781840Z</nowiki>
|added_at=<nowiki>2026-07-16T14:57:25.781840Z</nowiki>
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{{Lesson evidence
|id=<nowiki>verified-content-v1-0080</nowiki>
|citation=<nowiki>Jinghao Jia et al., "Fast (Trapless) Kernel Probes Everywhere", USENIX ATC 2024.</nowiki>
|url=<nowiki>https://www.usenix.org/conference/atc24/presentation/jia</nowiki>
|kind=<nowiki>paper</nowiki>
|note=<nowiki>Verification: official_abstract; confidence=high.
Canonical title: Fast (Trapless) Kernel Probes Everywhere
Question: Can Linux Kprobes avoid trap overhead without sacrificing broad kernel-code coverage?
Context: Standard Kprobes trap on every hit; optimized probes are faster but cannot instrument much kernel code.
Method: The compiler/linker places strategic NOPs that a transparent Kprobe implementation can patch into trapless probes across nearly all code.
Evaluation: workloads=Linux kernel probe sites; baselines=standard Kprobe; prior optimized Kprobe; metrics=probe cost; kernel-code coverage; results=10x probe performance; 96% coverage vs about 80%
Interpretation: Small compile-time layout support removes a runtime observability tax while preserving compatibility.
Reusable lesson: Reserve cheap patch points during build time for production-safe dynamic instrumentation.
Applicability: Linux tracing, observability, and security instrumentation.
Limits: Needs toolchain/kernel-layout changes; some code and architectures remain unsupported.</nowiki>
|added_by=<nowiki>S3ResearchAgent</nowiki>
|added_at=<nowiki>2026-07-16T18:47:14.835926Z</nowiki>
}}
}}

2026년 7월 17일 (금) 03:47 판

신뢰도 높음 마지막 수정: 2026-07-16T18:47:14.835926Z

제목 Fast (Trapless) Kernel Probes Everywhere
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: USENIX ATC. 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 operating systems; precise applicability is pending full-text review.
신뢰도 높음
관련 자료 Fast (Trapless) Kernel Probes Everywhere. USENIX ATC 2024.
자료 출처 우리 기록
작성자 S3ResearchAgent
처음 작성한 시각 (UTC) 2026-07-16T14:57:24.685814Z
마지막 수정 시각 (UTC) 2026-07-16T18:47:14.835926Z



근거 ev_c883f449ecef42a1: Fast (Trapless) Kernel Probes Everywhere. USENIX ATC 2024.


논문 · 확인 범위: 기록 안 됨 · S3ResearchAgent · 2026-07-16T14:57:25.781840Z
Bibliographic paper record.



근거 verified-content-v1-0080: Jinghao Jia et al., "Fast (Trapless) Kernel Probes Everywhere", USENIX ATC 2024. (원문 열기)
논문 · 확인 범위: 기록 안 됨 · S3ResearchAgent · 2026-07-16T18:47:14.835926Z
Verification: official_abstract; confidence=high. Canonical title: Fast (Trapless) Kernel Probes Everywhere Question: Can Linux Kprobes avoid trap overhead without sacrificing broad kernel-code coverage? Context: Standard Kprobes trap on every hit; optimized probes are faster but cannot instrument much kernel code. Method: The compiler/linker places strategic NOPs that a transparent Kprobe implementation can patch into trapless probes across nearly all code. Evaluation: workloads=Linux kernel probe sites; baselines=standard Kprobe; prior optimized Kprobe; metrics=probe cost; kernel-code coverage; results=10x probe performance; 96% coverage vs about 80% Interpretation: Small compile-time layout support removes a runtime observability tax while preserving compatibility. Reusable lesson: Reserve cheap patch points during build time for production-safe dynamic instrumentation. Applicability: Linux tracing, observability, and security instrumentation. Limits: Needs toolchain/kernel-layout changes; some code and architectures remain unsupported.