A New Approach for Flexible Matching of Grid Resources

Grid environment is an infrastructure in which many heterogeneous resources participate in solving large scale and high computational problems on the internet. Heterogeneity and large number of resources makes resource matching an important issue in the field of grid networks. This paper presents a new approach for grid resource matching. This paper proposes an approach that utilizes ontology to present the semantic relations of the environment and discover the resources that are most relevant to the request. Our method can provide approximate matches if no exact match exists for the given request. The evaluation results show that our method is more effective in resource matching compared with other mechanisms such as UDDI and OWL-S.