DocumentCode
2537520
Title
Ant-Inspired Technique for Automatic Web Service Composition and Selection
Author
Pop, Cristina Bianca ; Chifu, Viorica Rozina ; Salomie, Ioan ; Dinsoreanu, Mihaela ; David, Tudor ; Acretoaie, Vlad
Author_Institution
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
449
Lastpage
455
Abstract
This paper presents a technique for semantic Web service composition inspired by the behavior of ants. The proposed technique combines a service composition graph model with the ant colony optimization met heuristic to select the optimal composition solution. In our approach, we have considered as selection criteria the QoS attributes of the services and the semantic quality of the connections between the services involved in a composition solution.
Keywords
Web services; optimisation; quality of service; QoS attributes; ant colony optimization; ant-inspired technique; automatic Web service composition; automatic Web service selection; optimal composition solution; selection criteria; semantic Web service composition; semantic quality; service composition graph model; Clustering algorithms; Hospitals; Optimization; Quality of service; Semantics; Throughput; Web services; ant-based composition selection; composition graph model; ontology; semantic Web service; semantic matching; web service composition;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-1-4244-9816-1
Type
conf
DOI
10.1109/SYNASC.2010.35
Filename
5715322
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