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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11890

Title: Parallel Processing for Fuzzy Queries in Human Resources Websites
Authors: Lai, Lien-Fu;Wu, C. C.;Shih, M. Y.;Chiou, W.
Contributors: 資訊工程學系
Keywords: Parallel Processing;Grid Systems;Cluster Systems;Fuzzy Query;FuzzyCLIPS;Human Resource Websites
Date: 2009-10
Issue Date: 2012-07-02T02:26:32Z
Publisher: 教育部電子計算機中心;臺灣網路資訊中心
Abstract: In this paper, we use Parallel FuzzyCLIPS to parallelize the execution of FQHR websites for two kinds of task partitioning in both grid and cluster environments. First, a new architecture of FQHR websites is proposed to parallelize the execution of fuzzy queries on grid and cluster systems. Second, our approach supports two kinds of task partitioning: data level and module level. The data level partitions the facts and allocates them to
multiple processors for parallel execution, while the module level partitions the rules and allocates them to different processors. Third, a performance evaluation model is presented to analyze the proposed approach. Finally, we implement a parallelized
FQHR website to test the speedups by experiments and to verify the results of performance analysis.
Relation: 2009臺灣網際網路研討會(TANET 2009), Oct. 28-30, 2009
Appears in Collections:[資訊工程學系] 會議論文

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