filebench介绍.pdf

  1. 1、本文档共29页,可阅读全部内容。
  2. 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
  3. 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  4. 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
filebench介绍

Richard McDougall Sun Microsystems FileBench A Prototype Model Based Workload for File Systems Work In Progress Copyright Sun Microsystems, 2004 2 Benchmarks? For Vendors Product characterization Product design goaling Benchmarketing For Customers Purchasing Guide Configuration characterization/tuning/verification Copyright Sun Microsystems, 2004 3 Requirements for file-level benchmarking Represent Apps rather than I/Os Trace-derived synthesis Thread-level representation Inter-thread dependency/sync. Forward Path Extensible to new protocols Modular to include test of client: process/thread model, cpu efficiency etc... Pre-structuring/aging of file sets Scalable Throughput, #Users #Files/Directories Working set size #Clients Client resources (mem/cpu) Copyright Sun Microsystems, 2004 4 NFS 3/4 POSIX CIFS? XML? OLTP ERP DSS Mail What do we want to characterize? File System St or ag e Se rv er Applications Access Method File System Client Storage Server Copyright Sun Microsystems, 2004 5 Characterization Strategies I/O Microbenchmarking Pros: Easy to run Cons: Small test coverage, Hard to correlate to real apps Trace Capture/Replay I/O Trace, NFS Trace, Application Trace Pros: Accurate reconstruction of real application I/O mix Cons: Large traces, difficult to reconstruct I/O dependencies Model Based Distillation of trace into representive model Probability based, Simulation based Pros: Easy to run, Scalable in multiple dimensions Cons: Care required to ensure accurate real-world representation Copyright Sun Microsystems, 2004 6 Model based methodology study Application Level Trace ●Thread ●File/Dir ●Attrs etc... Workload Model Workload Replay ●Scale Factors Measurement Target ●FS, Client, Server etc ●Measurement Attrs Copyright Sun Microsystems, 2004 7 Model Allows Complex/Important Scaling Curves e.g. Thoughput/Latency vs. Working set size Thoughput/Latency vs. #users CPU Efficiency vs. Thoughput Caching efficiency vs. Workingset size/Memsize Copyright

您可能关注的文档

文档评论(0)

l215322 + 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档