NDLI: Dynamic selection of composite Web services based on a new structured TCNN

Content Provider	IEEE Xplore Digital Library
Author	Lei Yang Yu Dai Bin Zhang Yan Gao
Copyright Year	2005
Description	Author affiliation: Northeastern Univ., China (Lei Yang; Yu Dai; Bin Zhang; Yan Gao)
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.
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Electron. Commerce
Starting Page	141
Ending Page	148
File Size	319037
Page Count	8
File Format	PDF
ISBN	0769524389
DOI	10.1109/SOSE.2005.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Concurrent computing Costs Web services High performance computing Neural networks Decision making Neurons Computer networks Research and development
Content Type	Text
Resource Type	Article

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