SEMANTIC RESOURCE DISCOVERY IN GRID AND MULTI-AGENT ENVIRONMENT

Resources sharing has become an evolved field of study for the distributed systems communities. Enabling geographically diverse computational entities to share resource in a seamless way regardless of the hardware and software specifications has become a need by researchers communities. Resource discovery plays a vital role in the sharing lifetime. Resource sharing has been studied in this paper as a network activity. The effect of the locations where the semantic matching is done on the network performance has been investigated. An experiment has been designed to implement the proposed scenarios in a simulated environment. As part of this experiment a semantic matching algorithm based on reference ontology has been also implemented. The experimental results have demonstrated that doing a matching process in the requesters nodes is less network time consuming, giving that the requester has a copy of the neighbors resources descriptions.