Web Intelligence, IEEE / WIC / ACM International Conference on (2005)
Compi?gne University of Technology, France
Sept. 19, 2005 to Sept. 22, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.128
Xiaolong Jin , Hong Kong Baptist University
Jiming Liu , Hong Kong Baptist University
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 , the one in this paper can address dynamic load balancing in heterogeneous environments.
X. Jin and J. Liu, "Resource Optimization in Heterogeneous Web Environments," Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Compiegne, France, 2005, pp. 46-49.