Performance-based data distribution for data mining applications on grid computing environments

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題名:	Performance-based data distribution for data mining applications on grid computing environments
作者:	Shih W.-C., Yang C.T., Tseng S.-S.
關鍵詞:	Heuristic data distribution scheme;Data mining;Grid computing;MPI
日期:	2010
上傳時間:	2013-05-21T09:12:45Z (UTC)
摘要:	Effective data distribution techniques can significantly reduce the total execution time of a program on grid computing environments, especially for data mining applications. In this paper, we describe a linear programming formulation for the data distribution problem on grids. Furthermore, a heuristic method, named Heuristic Data Distribution Scheme (HDDS), is proposed to solve this problem.We implement two types of data mining applications, Association Rule Mining and Decision Tree Construction, and conduct experiments on grid testbeds. Experimental results show that data mining programs using the proposed HDDS to distribute data could execute more efficiently than traditional schemes could.
關聯:	Journal of Supercomputing, V.52 N.2, p.171-198
顯示於類別:	[資訊工程學系所] 期刊論文

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