An Efficient Grid Service Discovery Mechanism Based on the Locality Principle

With the explosion of services in grid environment, it＇s necessary to develop a mechanism which has the ability of discovering suitable grid services efficiently. This paper attempts to establish a layered resource management model based on the locality principle which classifies services into different domains and virtual organizations （VOs） according to their shared purposes. We propose an ontologybased search method applying the ontology theory for characterizing semantic information. In addition, we extend the UD- D1 in querying, storing, and so on. Simulation experiments have shown that our mechanism achieves higher performance in precision, recall and query response time.

An efficient grid service discovery mechanism based on the locality principle

With the explosion of services in grid environment, it's necessary to develop a mechanism which has the ability of discovering suitable grid services efficiently. This paper attempts to establish a layered resource management model based on the locality principle which classifies services into different domains and virtual organizations (VOs) according to their shared purposes. We propose an ontologybased search method applying the ontology theory for characterizing semantic information. In addition, we extend the UDDI in querying, storing, and so on. Simulation experiments have shown that our mechanism achieves higher performance in precision, recall and query response time. Foundation item: Supported by the High Technology Research and Development Program of China (2003AA414210) and the National Natural Science Foundation of China (60173051) Biography: KOY Yue (1980-), female, Ph. D. candidate, research direction: web service, grid and distributed system.