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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cardellini, V. Casalicchio, E. Grassi, V. Lo Presti, F. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Roma "Tor Vergata", Rome (Cardellini, V.; Casalicchio, E.; Grassi, V.; Lo Presti, F.) |
| 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. |
| Starting Page | 743 |
| Ending Page | 750 |
| File Size | 264371 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769529240 |
| DOI | 10.1109/ICWS.2007.91 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quality of service Web services Linear programming Concrete Proposals NP-hard problem Heuristic algorithms Genetic algorithms Delay Cost function |
| Content Type | Text |
| Resource Type | Article |
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