PERFORMANCE OPTIMIZATION FOR AGENT-BASED RESOURCE MANAGEMENT SYSTEM OF GRID COMPUTING

Grid resource management mainly schedules applications, over the available resources. Such scheduling over a large scale distributed environment raises performance issues. Most of the current implementations paid a little consideration of performance issues that are raised at service discovery and advertisement processes. In this work an agent based resource management system, ARMS, is enhanced with an adaptable resource information dissemination strategy to solve the performance issues raised from service advertisement and discovery processes within ARMS system. A Performance Monitoring and Advisory for ARMS component is implemented to compare the developed strategy with those previously defined in literature. Simulated test results recorded a noticeable better performance for the new strategy since it is more adaptable to continuous changes in both workload and structure of ARMS system.