View in EDS PDF Full Text

CHARACTERISTICS OF FAIRNESS METRICS AND THEIR EFFECT ON PERCEIVED SCHEDULER EFFECTIVENESS.

Saved in:
Bibliographic Details
Title: CHARACTERISTICS OF FAIRNESS METRICS AND THEIR EFFECT ON PERCEIVED SCHEDULER EFFECTIVENESS.
Authors: Ngubiri, J.1 ngubiri@cit.mak.ac.ug, van Vliet, M.2 mario@cs.ru.nl
Source: International Journal of Computers & Applications. 2010, Vol. 32 Issue 2, p188-196. 9p.
Subjects: Computer scheduling, Sequential scheduling, Time-sharing computer systems, Computer systems, Computer architecture
Abstract: Parallel job schedulers are mostly evaluated using performance metrics. Deductions however can be misleading due to selective job starvation (unfairness). To choose a better scheduler, therefore, there is a need to compare schedulers for fairness as well. Performance and fairness, however, have mostly been studied independently. We examine characteristics of three approaches to fairness evaluation in parallel job scheduling. We examine how they represent job starvation and other aspects of discrimination. We show that the implied unfairness is not always starvation/discrimination in practice. We use simultaneous consideration of performance and fairness and compare deductions with scheduler effectiveness derived from group-wise performance evaluation. We observe that due to possible misrepresentation of starvation by fairness metrics, schedulers shown as superior may not be so in practice. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Computers & Applications is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 51546010
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: CHARACTERISTICS OF FAIRNESS METRICS AND THEIR EFFECT ON PERCEIVED SCHEDULER EFFECTIVENESS.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ngubiri%2C+J%2E%22">Ngubiri, J.</searchLink><relatesTo>1</relatesTo><i> ngubiri@cit.mak.ac.ug</i><br /><searchLink fieldCode="AR" term="%22van+Vliet%2C+M%2E%22">van Vliet, M.</searchLink><relatesTo>2</relatesTo><i> mario@cs.ru.nl</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computers+%26+Applications%22">International Journal of Computers & Applications</searchLink>. 2010, Vol. 32 Issue 2, p188-196. 9p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computer+scheduling%22">Computer scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Sequential+scheduling%22">Sequential scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Time-sharing+computer+systems%22">Time-sharing computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Parallel job schedulers are mostly evaluated using performance metrics. Deductions however can be misleading due to selective job starvation (unfairness). To choose a better scheduler, therefore, there is a need to compare schedulers for fairness as well. Performance and fairness, however, have mostly been studied independently. We examine characteristics of three approaches to fairness evaluation in parallel job scheduling. We examine how they represent job starvation and other aspects of discrimination. We show that the implied unfairness is not always starvation/discrimination in practice. We use simultaneous consideration of performance and fairness and compare deductions with scheduler effectiveness derived from group-wise performance evaluation. We observe that due to possible misrepresentation of starvation by fairness metrics, schedulers shown as superior may not be so in practice. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Computers & Applications is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=51546010
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/1206212X.2010.11441974
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 188
    Subjects:
      – SubjectFull: Computer scheduling
        Type: general
      – SubjectFull: Sequential scheduling
        Type: general
      – SubjectFull: Time-sharing computer systems
        Type: general
      – SubjectFull: Computer systems
        Type: general
      – SubjectFull: Computer architecture
        Type: general
    Titles:
      – TitleFull: CHARACTERISTICS OF FAIRNESS METRICS AND THEIR EFFECT ON PERCEIVED SCHEDULER EFFECTIVENESS.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ngubiri, J.
      – PersonEntity:
          Name:
            NameFull: van Vliet, M.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2010
              Type: published
              Y: 2010
          Identifiers:
            – Type: issn-print
              Value: 1206212X
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: International Journal of Computers & Applications
              Type: main
ResultId 1