Service Load Balancing with Autonomic Servers: Reversing the Decision Making Process
AIMS '08 Proceedings of the 2nd international conference on Autonomous Infrastructure, Management and Security: Resilient Networks and Services
Q-Strategy: A Bidding Strategy for Market-Based Allocation of Grid Services
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Using software agent negotiation for service selection
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Autonomous Agents and Multi-Agent Systems
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Grid technology allows resource sharing among several entities, but selecting the best resource to run a specific job remains one of its main problems. The challenges for the best resource selection involve analysis of several factors such as prediction time to run a job, access restriction to resources, and cost to use resources. This paper presents a resource selection model using decision theory for combining these influential factors in the resource selection process. The model is based on a multi-attribute utility function that maximizes the user preference. This model forms part of a multi-agent system deploying distributed and parallel processing for job execution prediction, access policy verification, and resource selection models. All models of this paper were verified through experiments using real machines. They have presented appropriate functional behaviors and positive performance results.