A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
Matchmaking: Distributed Resource Management for High Throughput Computing
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
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In this paper, we propose a resource management system in Grid computing in order to specify system Quality of Service (QoS) requirements for dynamic and complex emerging applications. Our approach is based on the functional dependency among application components to specify the probability of system QoS requirements for the emerging application. Experimental results show that our application scheduling based on functional dependencies can achieve scheduling and managing emerging applications to satisfy a client's quality of service in Grid computing. The results also show significant improvement of performance comparing to cluster distribution and random distribution scheduling approaches