System Architecture for Efficient Grid Resource Management

Efficient management of continuously increasing resources is a major challenging task in Grid research community. Further, efficient scheduling - an integral part of the management process - requires proficient resource organization as evidenced in available literature in this research domain. Some potential resources to schedule a given job are not discovered because existing systems are based on syntactic resource matching. However they can partially fulfill the request by different degrees of match. Semantic metadata and ontologies are considered helpful in managing resources more effectively. In this paper we investigate and explore how Grid resource management can benefit from semantic knowledge. We propose semantic-based Grid Resource Management (S-GRM) system which utilizes semantic metadata to describe and discover both logical and physical resources. We also discussed a prototype implementation of our proposed architecture using ProActive Grid middleware.