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		<property:Attempt rdf:datatype="http://www.w3.org/2001/XMLSchema#string">off-CPU 구간에도 주기적 blocked sample(IP, callchain, weight, 원인 유형)을 생성한다. bperf가 on/off-CPU 샘플을 통합하고, BCOZ는 causal virtual speedup을 I/O·동기화·스케줄링의 세부 blocked class로 확장한다.</property:Attempt>
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1. Minwoo Ahn, Jeongmin Han, Youngjin Kwon, Jinkyu Jeong, "Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples," in Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24), July 2024

Verification level: full_text. Sources checked:
https://www.usenix.org/conference/osdi24/presentation/ahn
https://www.usenix.org/system/files/osdi24-ahn.pdf</property:Context>
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가상 speedup은 실제 최적화 효과를 과대·과소평가할 수 있어 정확한 수치 예측보다 우선순위 도구로 써야 한다.
blocked sample 주기와 지연 보정은 진단 해상도와 오버헤드의 trade-off를 갖는다.

Technical interpretation: wall-clock 병목 분석은 실행 샘플만으로 부족하며, 대기 구간도 시간 가중 샘플과 원인 분류를 가져야 동일한 통계·인과 프레임으로 처리할 수 있다.</property:Interpretation>
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BCOZ end-to-end overhead는 평균 27.6%, 최대 64.7%.
RocksDB 혼합 워크로드에서 병목을 식별했고 실제 최적화의 방향/순위가 가상 speedup 예측과 대체로 일치.</property:Observation>
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