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ENHMM, Evaluation model of Web service health level, is constructed based on multidimensional network performance. The model supports to customize evaluation factors dynamically, and gives the methods of active measurement for the network performance based on the evaluation attributes. To evaluation algorithm, AiNet immune algorithm is used, in which a new mechanism of antibody promotion and suppression...
Web service composition refers to the process of combining several web services to provide a value-added service. However, the component web services can't ensure reliable execution, because some services developed and operated by independent organizations may be deviate from the specification. In this paper, we propose a method that checks services reliability and ensures the best QoS combination...
With development of SOA, the complex problem can be solved by combining available individual services and ordering them to best suit user's requirements. Web services composition is widely used to business environment. With the features of inherent autonomy and heterogeneity for component Web services it is difficult to predict the behaviors of the overall composite service. Therefore, transactional...
Nowadays, the exploding number of functionally similar Web services has led to a new challenge of selecting the most relevant services using quality of service (QoS) aspects. Traditionally, the relevance of a service is determined by computing an overall score that aggregates individual QoS values. Users are required to assign weights to QoS attributes. This is a rather demanding task and an imprecise...
To guide the quality evaluation application of Web services in selecting from many available Web services, a evaluation model based on artificial immune network memory classifier is proposed. Evaluation tree which supports to customize evaluation attributes dynamically is defined to reveal the relation among QoS attributes. The objective and subjective synthetic approach is designed to compute the...
In this paper a new evaluation model is proposed which supports to customize evaluation attributes dynamically instead of standardized evaluation attributes Through expanding the OWL-S ontology a Web service ontology is constructed. Based on fuzzy theory and artificial immune network, a new data classification method, named fuzzy C-Means artificial immune network memory classifier (FCMAINMC), is put...
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