QoS Measurement Tool for Web Service Selection
Susila, Suresh Krishnan Palanisamy Vadivel · 2014
The propagation of web services into our businesses and day-to-day lives has made quality of services (QoS) a very important aspect for both the service provider and the consumers. With a large number of web service providers providing similar services, Web service selection based on QoS classification becomes crucial for the consumer. This paper deals with ranking and selection of Web services on the basis of Entropy-Based Discretization with the help of using QoS constraints values and classifying them under corresponding service classifier. Using ranking (service classifier), client can easily choose the Web service for his need. With the increasing use of web services in standardization of basic content integration, support of complex service-oriented architectures, provision of seamless integration of business processes and applications etc has lead to a boost in numbers of both web service consumers and providers. This means Quality of Service (QoS) becomes a very important aspect in distinguishing the success of a web service provider. (5) From a consumer's point of view, knowing the QoS provided by the service provider plays a crucial role in choosing a particular web service over its alternatives. Therefore, knowing where the QoS of a web service ranks becomes vital for both the web service provider and the web service consumer. This has called for tools to measure and classify web services based on various aspects of the service provided. Also, with more and more service providers providing similar functionality the customers job of searching the UDDI registry for a web service that suits his requirements while ensuring desired QoS becomes difficult. In this project, we aim to design and implement a tool which will be able to classify web services based on their QoS and also assist customers in web service discovery based on functionality and QoS. This tool will be then implemented as a web service which will increase ease of use and improved integration. The remainder of the paper is organized as follows: Section 2 presents related work done in selection of web services on the basis of Qos attributes of the