MINING OPTIMAL RESOURCE COMBINATION IN COMPUTATIONAL GRID
Resource allocation is the key technology in computational Grid. How to effectively allocate and schedule the Grid resources is a challenge for a Grid computing system.To the Grid service providers, two issues should be addressed to maximize their profits.1) how to choose the optimal resource combination; 2) how to adjust the resource price under certain resource combination. While most of the existing Grid literatures only consider the second problem,this paper focuses on the first one. This paper provides a novel approach to optimize the resource combination in computational Grid. By analyzing historical Grid trade data,the proposed method can mine the important associations between different kinds of Grid resources based on Principal Component Analysis (PCA). Another contribution of this paper is that it attempts to measure the fitness of certain Grid resource combination. Moreover, this paper shows how to adjust the Grid resource combination when its fitness is not good enough. Simulation results prove the well performance of the proposed method.
Computational Grid resource combination Principal Component Analysis optimal ratio
PEI-JIE HUANG HONG PENG QI-LUN ZHENG
College of Computer Science and Engineering, South China University of Technology, Guangzhou 510640 P.R.China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
1159-1164
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）