Artificial Intelligent Systems and Machine Learning

M. Thirumaran ¹, P. Dhavachelvan ², S. Abarna ¹

Affiliations
1 Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, IN
2 Ramanujam School of Mathematics and Computer Science, Pondicherry University, Puducherry, IN

Abstract

Web services based SOA, dramatically speeding up the application development process. They also see it as a way to build applications and systems that are more adaptable. Web services are poised to have a dramatic effect on business enterprises that think of themselves as independent of technology trends. Web services are being considered an excellent technology to solve distributed computing challenges in the Internet area. So now a days Web Service discovery is an essential element in Service-Oriented Computing. But selecting appropriate web services for the benefits of service consumers is a key issue in service discovery. Web service discovery is based on service functionality and QoS. However, without Web service quality standards and quality-based discovery mechanisms, the trustworthiness of business-to-business interactions can’t be guaranteed. Web service discovery spread up into these areas like agent, ontology, semantic, context server. But even though number of techniques, methods proposed for web service is always been a question. We have wide rage of QoS parameters but it is not easy to select the best one. So we are analyzing the QoS parameters and selecting the best service according to the user request. For better decision making the Analytic Hierarchy Process (AHP), a multiple criteria decision making method, is applied as an underlying mechanism for developing a flexible and effective ranking algorithm.

Keywords

Analytical Hierarchy Process, Service Discovery, Quality of Service, Decision Making System, Business-To-Business.

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M. Thirumaran ¹, G. Siva Kishore ², D. Kiran Kumar Reddy ²

Affiliations
1 Pondicherry Engineering College, Pondicherry, IN
2 Tata Consultancy Service, Chennai, IN

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 parameters 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.

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