DocumentCode
2698684
Title
Quality driven Web services selection
Author
Hu, Jianqiang ; GUO, Changguo ; Wang, Huaimin ; Zou, Peng
Author_Institution
Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha
fYear
2005
fDate
12-18 Oct. 2005
Firstpage
681
Lastpage
688
Abstract
The process-driven composition of Web services is emerging as a promising approach to the integration of business applications within and across organizational boundaries. To support rapid and dynamic composition of services, Web services that meet users´ functional requirements must be able to be located and bounded dynamically from a large and constantly changing number of service providers based on their quality of service (Qos). In order to enable quality-driven Web service selection, it is necessary to make a rational and effective decision among a number of similar Web services based on Qos criteria and users´ preference. In this paper, we present a decision model of Qos criteria called DQos for evaluating Web services, which consists of an extensible Qos model, decision modes and constraints. On basis of systematic studying Qos criteria of Web service, service selection is formulated as multiple attribute decision making (MADM) problem which can be solved by using subjective weight mode, single weight mode, objective weight mode and subjective-objective weight mode. At last, DQos model is proved to be feasible and effective by simulation experiments
Keywords
Internet; business data processing; decision making; quality of service; DQos model; MADM problem; business applications; decision model; multiple attribute decision making; process-driven composition; quality driven Web service selection; quality of service; user functional requirements; Application software; Computer science; Costs; Decision making; Electronic commerce; IP networks; Logic; Quality of service; Web and internet services; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2430-3
Type
conf
DOI
10.1109/ICEBE.2005.101
Filename
1552969
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