An Optimal Architecture for Dynamic Web Service Discovery and Selection
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The composition of a set of Web services is an important aspect of Web services technology. This allows solving several types of problems by combining available services elementary and ordering them to best meets the requirements of problems. Automatic composition gives us flexibility of selecting best candidate services at composition time satisfying QoS requirements; This would require the user to define constraints for selecting and composing candidate Web services. In this paper, we present QoS broker - based architecture for web services. From the model architecture which allows the management of QoS that we have previously proposed, we focus on how we can use web service with a technique supporting QoS under dynamic web service composition. The main goal of the architecture is to support the client in selecting web services based on his/her required QoS. We also present an efficient method to predict QoS of Web service and to select the suitable web service based on the consumer’s requirements along with QoS.
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W3C. Extensible markup language (xml) 1.0 (second edition). http//www.w3.org/TR/2000/REC-xml-20001006.2000.
E. Christensen, F. Curbera, G. Meredith, S. Weerawarana: Web Services Description Language (WSDL) 1.1,15 March 2001. http://www.w3.org/TR/wsdl.
D. Beringer, H. Kuno, and M. Lemon: Using WSCL in a UDDI Registry 1.02, UDDI Working Draft Technical Note Document, May 5, 2001. http://www.uddi.org/pubs/ wscl_TN_forUDDI_5_16_011.doc.
Soap specifications. http://www.w3.org/TR/soap/.
S. Weerawarana and al., Web Services Platform Architecture: SOAP, WSDL, WS-Policy, WS-Addressing, WS-BPEL, WSReliable Messaging, and More, Prentice Hall, 2005.
Li, B., Zhang, X., Zhu, J., Design and implementation of a self-adaptive workflow management framework based on BPEL, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 3251-3261.
N. Kakanakov, M. Shopov, I. Stankov, G. Spasov, Web Services and Data Integration in Distributed Automation and Information Systems in Internet Environment, (2006) International Review on Computers and Software (IRECOS), 1 (3), pp. 194-201.
M Alrifai, T Risse, W Nejdl, A hybrid approach for efficient Web service composition with end-to-end QoS constraints, ACM Transactions on the Web (TWEB), 2012.
Q Tao, H Chang, C Gu, Y Yi, A novel prediction approach for trustworthy QoS of web services, Expert Systems with Applications, Elsevier, 2012.
Z. Zheng, H. Ma, M. R. Lyu and I. King. QoS-Aware Web Service Recommendation by Collaborative Filtering, IEEE T. Services Computing, pp. 140-152, 2011.
D.A. Menasce, “QoS issues in Web services”, IEEE Internet Computing, 2002.
D Guinard & all, Interacting with the soa-based internet of things: Discovery, query, selection, and on-demand provisioning of web services, Services Computing, 2010.
S Wang, Q Sun, F Yang, Towards Web Service selection based on QoS estimation, Journal of Web and Grid Services, 2010.
M Alrifai, D Skoutas, T Risse, Selecting skyline services for QoS-based web service composition, conference on World wide web, 2010.
D. A. Menascéa, E. Casalicchiob, V. Dubeyc, “On optimal service selection in Service Oriented Architectures”, Performance Evaluation Journal, Elsevier, 2009.
H. Pfeffer, S. Krüssel, S. Steglich, “A Fuzzy Logic based Model for Representing and Evaluating Service Composition Properties”, the Third International Conference on Systems and Networks Communications, 2009.
Y. Zhang, Z Zheng, MR Lyu, Wsexpress: A qos-aware search engine for web services Web Services (ICWS), 2010.
Chan, B.Y.L. Ng, V. Chan, S., Quality guarantee for WSDL-based services. Computer Supported Cooperative Work in Design, 2005.
Kangchan, L., Jonghong, J., QoS for Web Services:Requirements and Possible Approaches. W3C Working Group Note, 2003
Boag, S., XQuery 1.0: An XML Query Language, http://www.w3.org/TR/xquery/
O. Nelles, A. Fink, R. Babuka, M. Setnes, “Comparison of two construction algorithms for Takagi-Sugeno fuzzy models”, International Journal of Applied Mathematics and Computer Science, pp. 835–855, 2000.
H. Boudouda, H. Seridi, Hybrid Algorithm for Unsupervised Automatique Classification, (2008) International Review On Computers and Software (IRECOS), 3 (3), pp. 296-301.
JSR. Jang, ANFIS: Adaptive-network-based fuzzy inference system, Systems, Man and Cybernetics, IEEE Transaction, 1993.
P. Werbos. “The roots of the backpropagation: from ordered derivatives to neural networks and political forecasting”. John Wiley and Sons, Inc, New York, 1993.
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