DocumentCode
2701655
Title
An Optimal Web Services Integration Using Greedy Strategy
Author
Ouyang, Wen ; Chen, Min-Lang
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., ChungHua Univ., Hsinchu
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
568
Lastpage
573
Abstract
Due to the fast advancement of network technologies, the study of service-oriented architectures (SOA) has attracted much attention recently, taking advantage of the benefits of distributed computing and integration. Web service is a very popular and widely accepted implementation of SOA. The use of Web services holds the advantages of a loosely-coupled system where all components can be developed at independent platforms and be connected with the Web service protocols via the network. However, the tendency for methods of applying Web services over the network is getting more and more complex. Many applications rely on not just one Web service, but a whole school of them. Thus, how to compose and integrate different Web services efficiently to provide complicated network services has become an essential topic in system development and design. This paper proposes a new problem which investigates the possibility of minimizing the number of hops of Web services while trying to finish a set of tasks. It also provides a polynomial-time, optimal Web service integration method using greedy strategy to integrate the Web services in order to complete those tasks. This method can achieve the goal of using the minimum number of hops of Web services over the network.
Keywords
Web services; computational complexity; greedy algorithms; SOA; distributed computing; greedy strategy; loosely-coupled system; optimal Web service integration; polynomial-time algorithm; service-oriented architecture; system design; system development; Web services; Web services; service composition; service integration; service-oriented architectures;
fLanguage
English
Publisher
ieee
Conference_Titel
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location
Yilan
Print_ISBN
978-0-7695-3473-2
Electronic_ISBN
978-0-7695-3473-2
Type
conf
DOI
10.1109/APSCC.2008.174
Filename
4780735
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