A Scalable Hybrid Architecture based SKOS Ontology for Resource Discovery in Grid

Resource discovery is an important service in a grid, since a grid enables the sharing and collaborating of a wide variety of resources which should be fully exploited. Based on Semantic Web technologies and the idea of resources clustering, this paper presents a comprehensive hybrid architecture based on SKOS lightweight ontology to organize and discover resources in an efficient and scalable manner. "odes with the same domain of interest get together into collections called federations in a hybrid grid, in which intra-federation adopts centralized management and inter-federation form a distributed one. The architecture strikes a balance between high efficiency of total centralized management and good scalability of distributed disposal. We propose an efficient process of query routing between semantically related federations, which decreases the cost of resource discovery, and an efficient and fault tolerant mechanism to leader’s federation election that minimizes the overhead between leaders during the process of updating information about the other leaders’ federations. Keywords-component: Resource discovery, SKOS, Hybrid architecture, Semantic query processing.