Dynamic Selection of Composite Web Services Based on a Genetic Algorithm Optimized New Structured Neural Network

Authors:
Lei YANG;Yu DAI;Bin ZHANG;Yan GAO
Affiliations:
Northeastern University, China;Northeastern University, China;Northeastern University, China;Northeastern University, China
Venue:
CW '05 Proceedings of the 2005 International Conference on Cyberworlds
Year:
2005

Citing 0
Cited 5

QoS broker-based trust model for effective web service selection

SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Evaluating quality of web services: a risk-driven approach

BIS'07 Proceedings of the 10th international conference on Business information systems
Preference-aware QoS evaluation for cloud web service composition based on artificial neural networks

WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
A QOS enhanced framework and trust model for effective web services selection

Journal of Web Engineering
A QOS enhanced framework and trust model for effective web services selection

Journal of Web Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to realize a high-quality and goodperformance service composition, based on current approach, we propose a new QoS-driven dynamic selection of composite Web Services, which takes account of both the QoS properties and interface parameters matching degree. When doing the selection, we aware that the task is more or less a multistage decision-making process. Motivated by neural networks' high parallel performance and genetic algorithm's powerful computation ability, a genetic algorithm optimized neural network algorithm is proposed in this paper for such task. In order to make this algorithm more adaptable for multistage decision-making problem, we propose a new structured neural network to express the composed service instead of using the traditional neural networks, which minimizes the neurons involved and shows high performance than the earlier ones. Finally, through experimentation one can find that method proposed in this paper is more practical and effective than others.