National Changhua University of Education Institutional Repository : Item 987654321/11699
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6507/11669
造访人次 : 30085950      在线人数 : 901
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/11699

题名: A Study of Designing a Grid-Enabled Expert System Language
作者: Wu, Chao-Chin;Lai, Lien-Fu;Chang, Y. S.
贡献者: 資訊工程學系
关键词: Grid computing;Parallel computing;Expert system;Programming language
日期: 2008-11
上传时间: 2012-07-02T02:02:29Z
出版者: Chinese Institute of Engineers
摘要: Because enriching grid applications is crucial to promote grid computing and grid economy, in this paper we focus on how to attract expert system programmers to run their applications on grid systems. CLIPS is a rule‐based language designed to help construct expert systems more easily because it is not required to design an algorithm to solve any problem. Instead, it relies on the CLIPS inference engine to draw a conclusion from the known facts and rules. However, because of the language's characteristics, it is very time‐consuming to execute a CLIPS application when compared with other algorithmic languages. To address the problem, we propose to execute a CLIPS‐based expert system in parallel by emerging cluster and grid systems in this paper. To achieve the goal, CLIPS has to be extended with new syntax to be a parallel version. In addition, we propose to adopt the SPMD computational model for programming to maintain parallel CLIPS applications in an easier way. According to experimental results, it is appealing to run CLIPS‐based expert systems in parallel on cluster and grid systems by adopting our approach because the performance improvements can be superlinear.
關聯: Journal of the Chinese Institute of Engineers, 31(7): 1165-1179
显示于类别:[資訊工程學系] 期刊論文

文件中的档案:

档案 大小格式浏览次数
2050400710006.pdf89KbAdobe PDF504检视/开启


在NCUEIR中所有的数据项都受到原著作权保护.

 

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