DocumentCode :
2668764
Title :
Dynamic selection of composite Web services based on a new structured TCNN
Author :
Yang, Lei ; Dai, Yu ; Zhang, Bin ; Gao, Yan
Author_Institution :
Northeastern Univ., China
fYear :
2005
fDate :
20-21 Oct. 2005
Firstpage :
141
Lastpage :
148
Abstract :
In order to realize a high quality and good performance service composition, we propose new QoS driven dynamic selection of composite Web services, which takes account of both the QoS properties and interface parameter matching degree. When doing the selection, we are aware that the task is more or less a multistage decision making process. Motivated by transiently chaotic neural network high parallel performance and powerful computation ability, a new structured transiently chaotic neural network algorithm is proposed. In order to make this algorithm more adaptable for the multistage decision making problem, we propose a new structured neural network to express the composed service instead of using traditional neural networks, which minimizes the neurons involved and shows higher performance. Finally, through experimentation one can find that the method proposed in this paper is more practical and effective than others.
Keywords :
Internet; neural nets; quality of service; dynamic composite Web service selection; interface parameter matching degree; multistage decision making; quality of service; service composition; transiently chaotic neural network; Chaos; Computer networks; Concurrent computing; Costs; Decision making; High performance computing; Neural networks; Neurons; Research and development; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service-Oriented System Engineering, 2005. SOSE 2005. IEEE International Workshop
Print_ISBN :
0-7695-2438-9
Type :
conf
DOI :
10.1109/SOSE.2005.12
Filename :
1551142
Link To Document :
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