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|Title: ||Parallel Processing for Fuzzy Queries in Human Resources Websites|
|Authors: ||Lai, Lien-Fu;Wu, C. C.;Shih, M. Y.;Chiou, W.|
|Keywords: ||Parallel Processing;Grid Systems;Cluster Systems;Fuzzy Query;FuzzyCLIPS;Human Resource Websites|
|Issue Date: ||2012-07-02T02:26:32Z
|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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