English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 6507/11669
造訪人次 : 30003510      線上人數 : 330
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 進階搜尋

請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/11890

題名: Parallel Processing for Fuzzy Queries in Human Resources Websites
作者: Lai, Lien-Fu;Wu, C. C.;Shih, M. Y.;Chiou, W.
貢獻者: 資訊工程學系
關鍵詞: Parallel Processing;Grid Systems;Cluster Systems;Fuzzy Query;FuzzyCLIPS;Human Resource Websites
日期: 2009-10
上傳時間: 2012-07-02T02:26:32Z
出版者: 教育部電子計算機中心;臺灣網路資訊中心
摘要: 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.
關聯: 2009臺灣網際網路研討會(TANET 2009), Oct. 28-30, 2009
顯示於類別:[資訊工程學系] 會議論文

文件中的檔案:

檔案 大小格式瀏覽次數
2050400716010.pdf1115KbAdobe PDF621檢視/開啟


在NCUEIR中所有的資料項目都受到原著作權保護.

 

DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋