Research of resource allocation algorithm based onclassification data mining
基于分类挖掘的网格资源分配研究

Making use of classification data mining algorithm to analyze user's historical access information, this paper got user's classification access rules and patterns in cluster renvironment. Firstly, it constructed a classification mining-based resource scheduling model. Secondly, it designed a UA algorithm to allocate all of the users' tasks in each cluster. Finally, it applied a new resource algorithm CDMRA to assign users' tasks to idle CPU resources in every node. Experiments show that CDMAR algorithm can reduce the resource reallocation times and improve the efficiency and accuracy of resource allocation compared to other algorithms. It can increase the utilization of grid resources.