Abstract
AbstractEfficient quality of service QoS management is critical for computational grid to meet heterogeneity and dynamics of resources and users’ requirements. Aimed at the QoS requirement for resource, QoS-constrained resource scheduling algorithm is proposed. All the tasks are needed to be associated with four QoS dimensions, namely time, reliability, security, and cost. It is implemented and the advantages of the new algorithm are investigated in a grid simulator called Grid Sim after the simulator has been expanded. The results of the simulation experiments show that this new scheduling algorithm effectively achieves load balancing of resources with comprehensive advantages in time efficiency, and solution accuracy compared to the other two algorithms. The approach can reduce data access latency, decrease bandwidth consumption, and distribute storage site load. It can be applied to resource scheduling in grid computing.KeywordsGridQuality of service (QoS)Resource scheduling algorithm
Published Version
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