Optimal service selection for composition based on weighted service flow and Genetic Algorithm

Optimization of service selection for composition is a critical but difficult issue in the area of service-oriented computing. This paper proposes an innovative approach to solve this issue. In the proposed approach, every abstract component service in the composition will be assigned a weight value...

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Bibliographic Details
Main Authors: Shang-Pin Ma, Jong-Yih Kuo, Yong-Yi Fanjiang, Chin-Pin Tung, Chun-Ying Huang
Format: Conference Proceeding
Language:English
Subjects:
Availability
Basis Path Analysis
Concrete
Cybernetics
Engines
Genetic Algorithm
Machine learning
Quality of service
Web Service Composition
Web services
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Summary:Optimization of service selection for composition is a critical but difficult issue in the area of service-oriented computing. This paper proposes an innovative approach to solve this issue. In the proposed approach, every abstract component service in the composition will be assigned a weight value to represent its importance through user assignment and execution path analysis, and then a weighted service flow will be generated. A service combination that includes selected concrete component services will be produced based on the weighted service flow and the Genetic Algorithm. The service combination will be of acceptable quality, and ensures the core component services that will most likely affect the whole service flow execution are more robust than other ones.
ISSN:2160-133X
DOI:10.1109/ICMLC.2010.5580692