Slicing the IO execution with ReLayTracer

Ganguk Lee; Yeaseul Park; Jeongseob Ahn; Youngjin Kwon

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arXiv · 1906.07124

Slicing the IO execution with ReLayTracer

Ganguk Lee·Yeaseul Park·Jeongseob Ahn·Youngjin Kwon

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Abstract

Analyzing IO performance anomalies is a crucial task in various computing environments, ranging from large-scale cloud applications to desktop applications. However, the IO stack of modern operating systems is complicated, making it hard to understand the performance anomalies with existing tools. Kernel IO executions are frequently interrupted by internal kernel activities, requiring a sophisticated IO profile tool to deal with the noises. Furthermore, complicated interactions of concurrent IO requests cause different sources of tail latencies in kernel IO stack. As a consequence, developers want to know fine-grained latency profile across IO layers, which may differ in each IO requests. To meet the requirements, this paper suggests ReLayTracer, a per-request, per-layer IO profiler. ReLayTracer enables a detailed analysis to identify root causes of IO performance anomalies by providing per-layer latency distributions of each IO request, hardware performance behavior, and time spent by kernel activities such as an interrupt.

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BibTeX RIS

Ganguk Lee, Yeaseul Park, Jeongseob Ahn, Youngjin Kwon. 2019-06-17. Slicing the IO execution with ReLayTracer. https://arxiv.org/abs/1906.07124

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