Title :
Research on Grid Resource Allocation Algorithm Based on Fuzzy Clustering
Author :
Li, Fufang ; Qi, Deyu
Author_Institution :
Sch. of Comput. Sci. & Educ. Software, Guangzhou Univ., Guangzhou, China
Abstract :
Grid resource allocation in grid environment has been studied extensively in recent years. Based on analyzing the existing grid resource allocation algorithms, this paper gives out a novel grid resource allocation algorithm based on fuzzy clustering. The proposed algorithm subtly assigns appropriate resource to the very task that exactly satisfy its¿ needs for resource, while reserving the resources whose power greatly exceed the needs of current tasks for future use. By this way, our algorithm can effectively avoid assigning powerful resources to simple and medium scale tasks or assigning poor resources to complex large-scale tasks, for they may lead to misuse of resources and failure scheduling of tasks. The presented algorithm has high efficiency and good robustness and works better than other similar algorithms. Our work has provided a new approach for grid resource allocation.
Keywords :
fuzzy set theory; grid computing; pattern clustering; resource allocation; scheduling; fuzzy clustering; grid environment; grid resource allocation algorithm; tasks failure scheduling; Clustering algorithms; Clustering methods; Computer science; Grid computing; Heuristic algorithms; Mesh generation; Processor scheduling; Resource management; Robustness; Scheduling algorithm; Grid Resource Allocation; Hybrid Fuzzy Clustering; Resource Vector; Task Vector;
Conference_Titel :
Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3431-2
DOI :
10.1109/FGCN.2008.88