A nine year study of file system and storage benchmarking

Author:

Traeger Avishay1,Zadok Erez1,Joukov Nikolai2,Wright Charles P.2

Affiliation:

1. Stony Brook University, Stony Brook, NY

2. IBM T. J. Watson Research Center, Yorktown Heights, NY

Abstract

Benchmarking is critical when evaluating performance, but is especially difficult for file and storage systems. Complex interactions between I/O devices, caches, kernel daemons, and other OS components result in behavior that is rather difficult to analyze. Moreover, systems have different features and optimizations, so no single benchmark is always suitable. The large variety of workloads that these systems experience in the real world also adds to this difficulty. In this article we survey 415 file system and storage benchmarks from 106 recent papers. We found that most popular benchmarks are flawed and many research papers do not provide a clear indication of true performance. We provide guidelines that we hope will improve future performance evaluations. To show how some widely used benchmarks can conceal or overemphasize overheads, we conducted a set of experiments. As a specific example, slowing down read operations on ext2 by a factor of 32 resulted in only a 2--5% wall-clock slowdown in a popular compile benchmark. Finally, we discuss future work to improve file system and storage benchmarking.

Funder

Intel Corporation

National Science Foundation

Hewlett-Packard Development Company

Division of Computer and Network Systems

Division of Computing and Communication Foundations

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

Reference166 articles.

1. Akkerman W. 2002. Strace software home page. www.liacs.nl/~wichert/strace/. Akkerman W. 2002. Strace software home page. www.liacs.nl/~wichert/strace/.

Cited by 68 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Empirical Analysis of Common OCI Runtimes' Performance Isolation Capabilities;Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

2. Performance-Baseline Estimation of File System Operations for Linux-Based Edge Devices;IEEE Transactions on Industrial Informatics;2024-05

3. zns-tools: An eBPF-powered, Cross-Layer Storage Profiling Tool for NVMe ZNS SSDs;Proceedings of the 4th Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems;2024-04-22

4. On Enhancing Data Integrity with Low-cost Retention-Refillable Programming Scheme;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

5. Reaping Both Latency and Reliability Benefits With Elaborate Sanitization Design for 3D TLC NAND Flash;IEEE Transactions on Computers;2023-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3