Thinking Methodically about Performance.
The article focuses on the complexity of systems-performance analysis and discusses methods for analyzing the computer network and operating system performance. The article discusses the blame-someone-else anti-method and the streetlight anti-method which avoid or delay the investigation of performa...
| Published in: | Communications of the ACM Vol. 56; no. 2; pp. 45 - 52 |
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| Format: | Article |
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Association for Computing Machinery
Feb2013
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=88141107&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 88141107 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Feb2013 vid: 56 iid: 2 pid: 68 pub: Association for Computing Machinery artinfo: ui: 88141107 10.1145/2408776.2408791 ppf: 45 ppct: 7 formats: tig: atl: Thinking Methodically about Performance. aug: au: GREGG, BRENDAN affil: Lead performance engineer, Joyent su: Computer performance Computer operating systems Computer system maintenance & repair Scientific observation Central processing units Problem solving Electronic data processing sug: subj: Computer performance Computer operating systems Computer system maintenance & repair Scientific observation Central processing units Problem solving Electronic data processing ab: The article focuses on the complexity of systems-performance analysis and discusses methods for analyzing the computer network and operating system performance. The article discusses the blame-someone-else anti-method and the streetlight anti-method which avoid or delay the investigation of performance problems. Topics include observational bias, the problem statement, the drill-down analysis, and the workload characterization method. The USE (utilization, saturation, and errors) method identifies bottlenecks in central processing units (CPUs). pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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