A Principled Approach for Selecting Block I/O Traces

被引：1
|
作者：
Desai, Omkar [1 ]
Shin, Seungmin [2 ]
Lee, Eunji [2 ]
Kim, Bryan S. [1 ]
机构：
[1] Syracuse Univ, Syracuse, NY 13210 USA
[2] Soongsil Univ, Seoul, South Korea
来源：
PROCEEDINGS OF THE 2022 14TH ACM WORKSHOP ON HOT TOPICS IN STORAGE AND FILE SYSTEMS, HOTSTORAGE 2022 | 2022年
基金：
新加坡国家研究基金会; 美国国家科学基金会;
关键词：
Workload analysis;
D O I：
10.1145/3538643.3539754
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：52 / 58
页数：7
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