Open Access Open Access  Restricted Access Subscription or Fee Access

Heuristic Evaluation of Criteria Factors for Quality Incited Web Service Discovery

M. Thirumaran, G. Siva Kishore, D. Kiran kumar reddy

Abstract


In today’s Internet driven world Web Services play a momentous role in service oriented computing providing seamless business to business interactions over Internet. Web Service Discovery is a cardinal mechanism to breakthrough the apt services which the businesses are incumbent upon. Discovering the services that meet the quality standards is a tedious task with many tradeoffs among the services like Quality of services and Cost of services. With an objective to provide quality driven web service discovery in this paper we identified several quality arameters classified under different criteria to evaluate the web services quality standards.Ranking of web services using monitored quality parameters is done through heuristic approach where in the parameters are assigned prioritized weights which meliorates the calculation of quality of services. The central theme of heuristic approach is the intelligent use of heuristic function i.e. prioritized weights to parameters to achieve the maximum efficiency in the final optimized result. We have also proposed a new architecture for evaluating the parameters and produce efficient web service discovery. We present a QoS model which is of great help in rating the web services with the end user's perspective on the basis of three levels of views, namely the business level view,Service level view and System level view.


Keywords


Web Service Discovery, QWS Parameters, Heuristic approach, QoS Model, Criteria rank

Full Text:

PDF

References


E. Al-Masri and Q. Mahmoud, “Investigating Web Service on the World Wide Web,” to be published in Proc. 17th Int’l World Wide Web Conf.WWW 08), ACM Press, 2008.

Bin Xu, Tao Li, Zhifeng Gu, Gang Wu “Quick Web Service Discovery and Composition in SEWSIP”, Proceedings of the 8th IEEE International Conference on E-Commerce Technology and the 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE’06)

Garofalakis, J., Panagis, Y., Sakkopoulos, E., Tsakalidis, A., “Web Service Discovery Mechanisms: Looking for a Needle in a Haystack?”,International Workshop on Web Engineering, 2004

Aabhas V. Paliwal, Nabil R. Adam, Hui Xiong, Christof Bornhövd “Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery”, Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06)

Gang Zhou, Jianjun Yu, Rui Chen, Hui Zhang, “Scalable Web Service Discovery on P2P Overlay Network”, 2007 IEEE International Conference on Services Computing (SCC 2007

Vu, L., Hauswirth, M., and Aberer, K. (2005). “QoSbased service selection and ranking with trust and reputation management”. In Proc. of the Intl. conf. on Cooperative Information Systems (CoopIS), Agia apa,Cyprus.

W3C (2003). “QoS for Web Services: Requirements and Possible Approaches”.Available:http://www.w3c.or.kr/kroffice/ TR/2003/NOTE-ws-qos-20031125/.

W3C WS-Policy Framework ver.1.2 (2006). Available at:http://www.w3.org/Submission/WS-Policy/

DAML-S / OWL-S (2006). Available at:http://www.daml.org/services/owl-s/

Yutu Liu, A.H.H.N., Liangzhao Zeng. QoS Computation and Policing in Dynamic Web Service Selection. in WWW2004. New York, USA: ACM Press.

N. Oldham et al., “Meteor-S Web Service Annotation Framework with Machine Learning Classification,” Proc. 1st Int’l Workshop Semantic Web Services and Web Process Composition (SWSWPC), LNCS 3387,Springer, 2004, pp. 137–146.

Liu, A. Ngu, and L. Zeng, “QoS Computation and Policing in Dynamic Web Service Selection,” Proc.14th Int’l World Wide Web Conf. (WWW 04), ACM Press, 2004, pp. 66–73.

Chen et al., “UX—An Architecture Providing QoS-Aware and Federated Support for UDDI,” Proc. Int’l Conf. Web Services (ICWS03), CSREA Press, 2003, pp. 171–176.


Refbacks

  • There are currently no refbacks.