English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28598/40629
Visitors : 4212494      Online Users : 43
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27943

Title: Genetic algorithm for QoS-aware dynamic web services composition
Authors: Yong-Yi Fanjiang;Yang Syu;Chun-Hung Wu;Jong-Yih Kuo;Shang-Pin Ma
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: Genetic algorithm;QoS;service composition
Date: 2010-07
Issue Date: 2011-10-21T02:34:36Z
Publisher: International Conference on Machine Learning and Cybernetics (ICMLC), 2010
Abstract: Abstract:Nowadays, the Service-Oriented Architecture (SOA) as well as orchestration technology becomes trend of software development. The benefit of SOA is that we will save cost and time extremely due to the services utilized are already exist and reuse those services as well as integrate them. Currently, the main issues of SOA are how to define workflow as well as how to select the suitable services to perform this workflow with QoS. Many approaches separate workflow defined and services with QoS selected, therefore, will sacrifice the user's feasibility. In this paper, we provide an approach to deal with the dynamic service composition issue based on the genetic algorithm and cases-based reasoning. This approach can support the flexible service workflow according to the user's requirements and compose the workable services to complete this workflow.
Relation: pp.3246-3251
URI: http://ntour.ntou.edu.tw/handle/987654321/27943
Appears in Collections:[資訊工程學系] 演講及研討會

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback