- 期刊
Parallel Processing for Fuzzy Queries in Human Resources Websites
並列摘要
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.
延伸閱讀
- 楊欣哲、殷仁政（2006）。An Approach to Quality Measures for Web Pages System Using Object-Oriented Technology。東吳經濟商學學報，(52)，175-211。https://doi.org/10.29735/SJEB.200603.0007
- Shen, J. H. (2006). An Efficient Method for Processing Multiple Continuous Top-K Queries [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-1303200709272636
- 陳泊郡（2012）。An Efficient Join Query Processing based on MJR Framework〔碩士論文，國立臺中科技大學〕。華藝線上圖書館。https://doi.org/10.6826/NUTC.2012.00030
- You, C. H. (2011). A Data Parallel Approach to XML Parsing and Query [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2011.01228
- 蕭湘蓁（2012）。A Platform for Managing and Developing Fuzzy Database〔碩士論文，國立暨南國際大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0020-2808201214074400