DocumentCode :
1856563
Title :
A Qos Optimization for Intelligent and Dynamic Web Service Composition Based on Improved PSO Algorithm
Author :
Huang, Lican ; Zhang, Xiaocen ; Huang, Yinxiu ; Wang, Gaoxuan ; Wang, Ren
fYear :
2011
fDate :
21-24 Sept. 2011
Firstpage :
214
Lastpage :
217
Abstract :
This paper descirbes experimental tests about adopting improved PSO algorithm to solve the deficiency of QoS optimization in Web service composition. After web service composition problem is converted into a multi-objective optimization problem according to users´ requirements for Qos, improved PSO algorithm is adopted and repeatedly tests the optimization model by constantly adjusting the step size and learning factor. Experimental results show that the web service composition model by adopting finally determined step parameters could improve speed and performance for finding the optimal solution.
Keywords :
Web services; particle swarm optimisation; quality of service; PSO algorithm; QoS optimization; Web service composition model; dynamic Web service composition; intelligent Web service composition; multiobjective optimization problem; Distributed computing; IDPSO Introduction; PSO; QoS; Service composition; Web Service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2011 Second International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0407-9
Type :
conf
DOI :
10.1109/ICNDC.2011.50
Filename :
6047137
Link To Document :
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