WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATION
#1

ABSTRACT

               With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services. In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
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#2
With the explosive growth in the number of services published over the Internet, it is difficult to select satisfactory web services among candidate web services that provide similar functionality. Quality of service (QoS) is considered as the most important non-functional criterion for the selection of services. But this criterion is no longer considered as the only criterion for classifying web services, satisfying user preferences. The measure of similarity between ontology-based concepts in an interconnected network of semantic web services involved in a composition can be used as a distinctive criterion for estimating the semantic quality of services selected for the composite service. Couple the semantic similarity as the functional aspect and the quality of the services allows us to restrict and select additional services for the valid composite services. In this article we present a general framework of selection and classification of services that first classifies the candidate web services to different levels of quality of service with respect to the requirements and preferences of the user's QoS with an associative classification algorithm and classifies the services More qualified candidates based on their functional quality through semantic pairing. The experimental results show that the proposed framework can satisfy the non-functional requirements of service applicants.


Web services technology offers a potential solution to develop distributed business processes and applications, which can be accessed through the Internet. Given the rapid increase in Web users and the increasing complexity of their demands, simple atomic services are inadequate. When individual Web services can not meet complex requirements, SOC provides a flexible framework for reusing and composing existing web services in order to create value-added composite services. The functionalities required for these complex requirements (ie tasks) and their interactions, control and data flow are initially identified. Second, an adequate implementation should be selected and limited to each task. However, with the increasing number of services available, you can find a large number of services to perform each task that can provide the functionality expected for each of them. Therefore, it leads to the question of selecting the best Web services among a list of "Candidate Web services", with the same functionalities. These services are, of course, different from each other in non-functional properties such as response time, availability, performance, security, reliability and cost of execution, and therefore are different in terms of efficiency.
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