Resource optimization in heterogeneous Web environments

Xiaolong Jin*, Jiming LIU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper addresses the distributed resource optimization issue in heterogeneous Web environments, where both resource nodes and service requests may be heterogeneous. Specifically, this paper presents an agent-based mechanism, where agents are employed to carry service requests. Agents are equipped with three behaviors, namely, least-loaded move, less-loaded move, and random move, to search for appropriate resource nodes. Every time, agents probalilistically choose a behavior to perform. As a whole, the multiagent system can accomplish the objective of load balancing and resource optimization. Through experiments on a computing platform, called SSADRO, we validate the effectiveness of the proposed mechanism. As compared to our previously proposed load balancing mechanism in [6], the one in this paper can address dynamic load balancing in heterogeneous environments.

Original languageEnglish
Title of host publicationProceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Pages46-49
Number of pages4
DOIs
Publication statusPublished - 2005
Event2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005 - Compiegne Cedex, France
Duration: 19 Sep 200522 Sep 2005

Publication series

NameProceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Volume2005

Conference

Conference2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005
Country/TerritoryFrance
CityCompiegne Cedex,
Period19/09/0522/09/05

Scopus Subject Areas

  • Engineering(all)

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