A quantitative comparison of reputation systems in the grid

Jason D. Sonnek, Jon B. Weissman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

Reputation systems have been a hot topic in the peer-to-peer community for several years. In a services-oriented distributed computing environment like the Grid, reputation systems can be utilized by clients to select between competing service providers. In this paper, we selected several existing reputation algorithms and adapted them to the problem of service selection in a Grid-like environment. We performed a quantitative comparison of both the accuracy and overhead associated with these techniques under common scenarios. The results indicate that using a reputation system to guide service selection can significantly improve client satisfaction with minimal overhead. In addition, we show that the most appropriate algorithm depends on the kinds of anticipated attacks. A new algorithm we've proposed appears to be the approach of choice if clients can misreport service ratings.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Pages242-249
Number of pages8
DOIs
StatePublished - 2005
Event6th IEEE/ACM International Workshop on Grid Computing - Seattle, WA, United States
Duration: Nov 13 2005Nov 14 2005

Publication series

NameProceedings - IEEE/ACM International Workshop on Grid Computing
Volume2005
ISSN (Print)1550-5510

Other

Other6th IEEE/ACM International Workshop on Grid Computing
CountryUnited States
CitySeattle, WA
Period11/13/0511/14/05

Keywords

  • Grid Computing
  • Reputation Systems
  • Resource Scheduling
  • Trust Models

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