Emulating goliath storage systems with David

Author:

Agrawal Nitin1,Arulraj Leo2,Arpaci-Dusseau Andrea C.2,Arpaci-Dusseau Remzi H.2

Affiliation:

1. NEC Laboratories America

2. University of Wisconsin--Madison

Abstract

Benchmarking file and storage systems on large file-system images is important, but difficult and often infeasible. Typically, running benchmarks on such large disk setups is a frequent source of frustration for file-system evaluators; the scale alone acts as a strong deterrent against using larger, albeit realistic, benchmarks. To address this problem, we develop David: a system that makes it practical to run large benchmarks using modest amount of storage or memory capacities readily available on most computers. David creates a “compressed” version of the original file-system image by omitting all file data and laying out metadata more efficiently; an online storage model determines the runtime of the benchmark workload on the original uncompressed image. David works under any file system, as demonstrated in this article with ext3 and btrfs. We find that David reduces storage requirements by orders of magnitude; David is able to emulate a 1-TB target workload using only an 80 GB available disk, while still modeling the actual runtime accurately. David can also emulate newer or faster devices, for example, we show how David can effectively emulate a multidisk RAID using a limited amount of memory.

Funder

Division of Computing and Communication Foundations

Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

Cited by 2 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. ∅sim: Preparing System Software for a World with Terabyte-scale Memories;Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems;2020-03-09

2. A Storage Device Emulator for System Performance Evaluation;ACM Transactions on Embedded Computing Systems;2015-12-08

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