Improving resource matchmaking through feedback integration

Christian Haas, Ioan Petri, Omer Rana

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

1 Scopus citations

Abstract

Distributed systems in which users consume and supply different types of services and resources are becoming ever more prevalent. For the matching of consumers and providers, preference-based two-sided matching algorithms can be used to improve the efficiency of the overall match outcome. In such systems, requesting (providing) users rank others based on preferences derived from feedback. Trust can be inferred using trust networks through direct or indirect feedback based on previous actions, and influences the preference ranking that users submit to the matching algorithm. As feedback influences the preference ranking and thus the matching, in this paper we propose a novel methodology which makes use of feedback in the decision making of preference rankings, in order to avoid being matched to untrustworthy users (or provides not likely to deliver their service). We use a simulation based validation approach to determine the effects of dynamic/continuous feedback and its influence on preference ranking of providers.

Original languageEnglish (US)
Title of host publicationProceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014
PublisherIEEE Computer Society
Pages906-914
Number of pages9
ISBN (Print)9781479927838
DOIs
StatePublished - 2014
Externally publishedYes
Event14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2014 - Chicago, IL, United States
Duration: May 26 2014May 29 2014

Publication series

NameProceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014

Conference

Conference14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2014
CountryUnited States
CityChicago, IL
Period5/26/145/29/14

Keywords

  • Distributed Systems
  • Feedback Mechanism
  • Social Networks
  • Two-Sided Matching

ASJC Scopus subject areas

  • Software

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