DocumentCode
2232001
Title
Study on optimization selection model of Web service discovery based on genetic algorithm
Author
Jun, Xiao
Author_Institution
Math. & Comput. Coll., Ningxia Univ., Yinchuan, China
Volume
3
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Traditional Web services, which are mainly technical specifications based on UDDI, provide service discovery by simple classification and key word matching, resulting in low precision ratio and recall ratio as well as low compatibility of service multiplexing and service composition. This paper, basing on Web service models and in combination with genetic algorithm, brings forward a multi-target optimization selection model based on similarity, QoS, matching degree, rating and feasibility of Web services, and provides an effective method for Web service discovery.
Keywords
Web services; genetic algorithms; QoS; UDDI; Web service; genetic algorithm; key word matching; matching degree; multitarget optimization selection model; service composition; service multiplexing; Availability; Switches; Variable speed drives; Optimization model; Service discovery; Web service;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579698
Filename
5579698
Link To Document