A principled approach for selecting block I/O traces

Omkar Desai, Seungmin Shin, Eunji Lee, B. Kim
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引用次数: 1

Abstract

We present IOTAP, a tool that analyzes and profiles block I/O traces. IOTAP computes the (dis)similarities among a set of workloads and sets a guideline for selecting a subset of traces for benchmarking. By doing so, we avoid experimentally running all workloads or, even worse, arbitrarily selecting a subset that skews the results. We demonstrate the usefulness of IOTAP by comparing its results with experiments on real SSDs, achieving a high correlation of 0.92 for an NVMe SSD.
一种选择块I/O轨迹的原则性方法
我们介绍IOTAP,一个分析和配置块I/O跟踪的工具。IOTAP计算一组工作负载之间的(非)相似性,并为选择用于基准测试的跟踪子集设置指导方针。通过这样做,我们可以避免实验性地运行所有工作负载,或者更糟糕的是,任意选择一个影响结果的子集。我们通过将IOTAP的结果与在真实SSD上的实验结果进行比较,证明了IOTAP的有用性,在NVMe SSD上实现了0.92的高相关性。
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