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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11711

Title: Parallel Processing for Fuzzy Queries in Human Resources Websites
Authors: Lai, Lien-Fu;Wu, C. C.;Shih, M. Y.;Huang, L. T.;Chiou, W.
Contributors: 資訊工程學系
Keywords: Parallel processing;Grid systems;Cluster systems;Fuzzy query;FuzzyCLIPS
Date: 2010-12
Issue Date: 2012-07-02T02:03:48Z
Publisher: 臺灣學術網路管理委員會&Airiti Press Inc
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: Journal of Internet Technology, 7(11): 943-953
Appears in Collections:[資訊工程學系] 期刊論文

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