DocumentCode :
3274211
Title :
Service portfolio optimization algorithm based on value model and graph theory in SOA
Author :
Zhi-xin Yang ; Hong-yun Ning ; Jun-qing Sun ; Jia-bao Yang
Author_Institution :
Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
fYear :
2013
fDate :
23-25 May 2013
Firstpage :
64
Lastpage :
67
Abstract :
Business process reengineering frequently occurs in complex service systems because of its dynamic, random and varied running characteristics. To solve the problem, we proposed a novel SOA portfolio optimization algorithm based on value model and graph theory. Firstly, in order to strengthen the QoS analytical capacity of SOA, the value model is introduced into the SOA system to describe customer´s service requirements of both function and non-function aspects. Next, a directed graph of SOA services and a value dependence graph of services are provided, as well as a service portfolio optimization algorithm designed based on the graphs. Finally, the simulated data case is used to analyze and verify the methods proposed in this paper. The result shows that introducing the value model and graph algorithm into the SOA-based service system can effectively improve the quality of service portfolio.
Keywords :
business process re-engineering; directed graphs; quality of service; service-oriented architecture; QoS analytical capacity; SOA-based service system; business process reengineering; complex service systems; directed graph; graph algorithm; graph theory; service portfolio optimization algorithm; value model; Algorithm design and analysis; Integrated circuits; Quality of service; Service-oriented architecture; graph theory; service portfolio optimization; service-oriented architecture (SOA); value model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4673-4997-0
Type :
conf
DOI :
10.1109/ICSESS.2013.6615256
Filename :
6615256
Link To Document :
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