Intelligent Agent Based Grid Resource Management System

In grid environment, users look for a suitable resource capable of executing a given task. Resource brokers / schedulers are intermediaries, who provide service to the grid users. In the existing resource brokers / schedulers, when the exact match for the requested resource is not available, resource discovery have to be terminated unsuccessfully or the process should wait in the queue till the availability of the requested resources. This results in decrease in success rate of resource discovery and increases the waiting time for the processes. However, at the same time, there is a possibility of the existence of lot of almost similar, suitable and acceptable resources with negligible difference in the requirements, with which the user’s job can be executed, remain underutilized in the grid. In our earlier work, Resource brokers / schedulers were knowledge assisted by cognitive agent in order to provide alternative resource for expediting resource discovery. Cognitive agent is an intelligent agent and provides knowledge assistance to brokers. This paper focuses on the enhancement of the functionalities of cognitive agent. The proposed system has been found to produce a consistently higher success rate of resource discovery and improved resource utilization besides reducing the cost-loss for the requester that leads to better performance of the grid.