Research on Novel Fuzzy and Intelligent Resource Management in Grid Computing
Research on Novel Fuzzy and Intelligent Resource Management in Grid Computing
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DOI：
10.1007/978-3-642-21697-8_1
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Fufang Li;G. Xie;Deyu Qi;Fei Luo;Dongqing Xie
中科院分区：
文献类型：
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作者：
Fufang Li;G. Xie;Deyu Qi;Fei Luo;Dongqing Xie
资源管理和调度是网格计算中最重要的问题。本文提出了一种新的基于Agent &小世界理论的网格资源管理模型（A_Swt_Grm）和相应的基于模糊聚类的网格资源优化调度算法（OSA_GR_FC）。A_Swt_Grm模型采用智能体技术和小世界理论构建，具有良好的智能、自适应、高效和高性能。该算法可以巧妙地调度适当的资源，准确地满足用户对资源的多重qos需求，同时有效地避免将最强大的资源分配给用户，大大超出用户的需求。实验结果表明，该模型和算法的性能优于其他类似算法。
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.