Title :
QoS-Based Web Service Composition Accommodating Inter-service Dependencies Using Minimal-Conflict Hill-Climbing Repair Genetic Algorithm
Author :
Ai, Lifeng ; Tang, Maolin
Author_Institution :
Queensland Univ. of Technol., Brisbane, QLD
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.
Keywords :
Web services; genetic algorithms; quality of service; QoS-based Web service composition; Web service composition optimization problem; context constraints; inter-service dependencies; minimal-conflict hill-climbing repair genetic algorithm; semantic grid; Australia; Concrete; Constraint optimization; Context-aware services; Data visualization; Genetic algorithms; Global Positioning System; Scalability; Service oriented architecture; Web services;
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
DOI :
10.1109/eScience.2008.110