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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lifeng Ai Maolin Tang |
| Copyright Year | 2008 |
| Description | Author affiliation: Queensland Univ. of Technol., Brisbane, QLD (Lifeng Ai; Maolin Tang) |
| Abstract | In the field of semantic grid, QoS-based Web service composition is an important problem. In semantic and service rich environment like semantic grid, the emergence of context constraints on Web services is very common making the composition consider not only QoS properties of Web services, but also inter service dependencies and conflicts which are formed due to the context constraints imposed on Web services. In this paper, we present a repair genetic algorithm, namely minimal-conflict hill-climbing repair genetic algorithm, to address the Web service composition optimization problem in the presence of domain constraints and inter service dependencies and conflicts. Experimental results demonstrate the scalability and effectiveness of the genetic algorithm. |
| Starting Page | 119 |
| Ending Page | 126 |
| File Size | 208547 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424433803 |
| DOI | 10.1109/eScience.2008.110 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Constraint optimization Context-aware services Web services Scalability Data visualization Service oriented architecture Concrete Australia Genetic algorithms Global Positioning System |
| Content Type | Text |
| Resource Type | Article |
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