Research on Novel Fuzzy and Intelligent Resource Management in Grid Computing

摘要

Resource management and scheduling are the most important problems in grid computing. This paper tries to present a novel Agent & Small-world theory based Grid resource management model (A_Swt_Grm) and related Optimized Scheduling Algorithm of Grid Resource based on Fuzzy Clustering (OSA_GR_FC) for the model. Being constructed by agent technology and small-world theory, the model of A_Swt_Grm has good intelligence, self-adjustment, efficiency, and high performance. The proposed algorithm can subtly schedule appropriate resource to accurately satisfy the user's multi-QoS needs of resource, while effectively avoid assigning most powerful resources to the user which largely exceeds the user's needs. Experimental results show that the proposed model and algorithm works better than other similar algorithms.