DocumentCode :
3128197
Title :
Flow-Based Service Selection forWeb Service Composition Supporting Multiple QoS Classes
Author :
Cardellini, Valeria ; Casalicchio, Emiliano ; Grassi, Vincenzo ; Lo Presti, Francesco
Author_Institution :
Univ. of Roma "Tor Vergata", Rome
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
743
Lastpage :
750
Abstract :
In the service oriented paradigm applications are created as a composition of independently developed Web services. Since the same service may be offered by different providers with different non-functional Quality of Service (QoS) attributes, a selection process is needed to identify the constituent services for a given composite service that best meet the users QoS requirements. In this paper, we consider a broker that offers a composite service with multiple QoS classes to several users each generating a flow of requests over time. We propose a service selection scheme which optimizes the end-to-end aggregated QoS of all incoming flows of requests by means of a simple linear programming problem which scales as the number of users, request volumes and/or services grows. This approach differs from most of the current proposals which may not scale well since: a) requests, even from the same user, are handled independently from one another; and b) the selection process often requires the solution of an NP-hard problem.
Keywords :
Web services; computational complexity; linear programming; quality of service; NP-hard problem; QoS requirements; Web service composition; flow-based service selection; linear programming problem; multiple QoS classes; quality of service; selection process; service oriented paradigm; Concrete; Cost function; Delay; Genetic algorithms; Heuristic algorithms; Linear programming; NP-hard problem; Proposals; Quality of service; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Services, 2007. ICWS 2007. IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2924-0
Type :
conf
DOI :
10.1109/ICWS.2007.91
Filename :
4279667
Link To Document :
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