CLC number: TP311
On-line Access:
Received: 2005-02-20
Revision Accepted: 2005-11-11
Crosschecked: 0000-00-00
Cited: 4
Clicked: 6011
Mou Yu-jie, Cao Jian, Zhang Shen-sheng, Zhang Jian-hong. Interactive Web service choice-making based on extended QoS model[J]. Journal of Zhejiang University Science A, 2006, 7(4): 483-492.
@article{title="Interactive Web service choice-making based on extended QoS model",
author="Mou Yu-jie, Cao Jian, Zhang Shen-sheng, Zhang Jian-hong",
journal="Journal of Zhejiang University Science A",
volume="7",
number="4",
pages="483-492",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0483"
}
%0 Journal Article
%T Interactive Web service choice-making based on extended QoS model
%A Mou Yu-jie
%A Cao Jian
%A Zhang Shen-sheng
%A Zhang Jian-hong
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 4
%P 483-492
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0483
TY - JOUR
T1 - Interactive Web service choice-making based on extended QoS model
A1 - Mou Yu-jie
A1 - Cao Jian
A1 - Zhang Shen-sheng
A1 - Zhang Jian-hong
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 4
SP - 483
EP - 492
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0483
Abstract: quality of Service (QoS) is a key factor in web service advertising, choosing and runtime monitoring. web service QoS is multi-faceted, fuzzy and dynamic. Current researches focus on implementation level performance assurance, ignoring domain specific or application level metrics which are also very important to service users. Industry web service standards lack QoS expression. The support for QoS based service choice-making is very limited. We proposed an extended web service QoS model based on configurable fuzzy synthetic evaluation system. web service QoS is evaluated dynamically according to the service context. A QoS requirement description model is also given for service QoS requirement definition. An interactive web service choice-making process is described, which takes QoS as a key factor when choosing from functionally equivalent services.
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