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An Agent-Based Approach for Multi Performance Optimization in Grid Computing

The challenge of multi performance optimization has been extensively addressed in the literature based on deterministic parameters. Since resources in Grid Computing platforms are geographically separated and heterogeneous, it is rather difficult to apply a uniform distribution algorithm for achieving various optimization goals. Based on the analysis of grid service performance measures, this paper proposes an approach for optimal network resource distribution which is aimed to satisfy both the users and the service providers requirements. Illustrative examples are presented.