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The Tail at Scale.

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Bibliographic Details
Title: The Tail at Scale. (cover story)
Authors: DEAN, JEFFREY1 (AUTHOR) jeff@google.com, BARROSO, LUIZ ANDRÉ2 (AUTHOR) luiz@google.com
Source: Communications of the ACM. Feb2013, Vol. 56 Issue 2, p74-80. 7p. 1 Color Photograph, 2 Charts, 1 Graph.
Subjects: Web services, Distributed computing software, Fault-tolerant computing, Search engine optimization, Google (Web resource), Computer performance, Computer software
Abstract: The article discusses high-latency episodes in large online services and tail-tolerant software techniques that form a predictable whole out of less-predictable parts to reduce the episodes' effect on whole-system performance. The article notes variability in latency distribution or response time to user actions can be reduced by parallelization of sub-operations across different machines. Topics include system utilization that avoids overprovisioning, performance variability, and the Google search engine.
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 88141551
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: The Tail at Scale. (cover story)
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  Data: <searchLink fieldCode="AR" term="%22DEAN%2C+JEFFREY%22">DEAN, JEFFREY</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jeff@google.com</i><br /><searchLink fieldCode="AR" term="%22BARROSO%2C+LUIZ+ANDRÉ%22">BARROSO, LUIZ ANDRÉ</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> luiz@google.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Feb2013, Vol. 56 Issue 2, p74-80. 7p. 1 Color Photograph, 2 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Web+services%22">Web services</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing+software%22">Distributed computing software</searchLink><br /><searchLink fieldCode="DE" term="%22Fault-tolerant+computing%22">Fault-tolerant computing</searchLink><br /><searchLink fieldCode="DE" term="%22Search+engine+optimization%22">Search engine optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Google+%28Web+resource%29%22">Google (Web resource)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+performance%22">Computer performance</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink>
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  Label: Abstract
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  Data: The article discusses high-latency episodes in large online services and tail-tolerant software techniques that form a predictable whole out of less-predictable parts to reduce the episodes' effect on whole-system performance. The article notes variability in latency distribution or response time to user actions can be reduced by parallelization of sub-operations across different machines. Topics include system utilization that avoids overprovisioning, performance variability, and the Google search engine.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=88141551
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1145/2408776.2408794
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 74
    Subjects:
      – SubjectFull: Web services
        Type: general
      – SubjectFull: Distributed computing software
        Type: general
      – SubjectFull: Fault-tolerant computing
        Type: general
      – SubjectFull: Search engine optimization
        Type: general
      – SubjectFull: Google (Web resource)
        Type: general
      – SubjectFull: Computer performance
        Type: general
      – SubjectFull: Computer software
        Type: general
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      – TitleFull: The Tail at Scale.
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            NameFull: DEAN, JEFFREY
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            NameFull: BARROSO, LUIZ ANDRÉ
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              Text: Feb2013
              Type: published
              Y: 2013
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            – TitleFull: Communications of the ACM
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