Authors : Sandile Thamie Mhlanga, Manoj Lall and Sunday O. Ojo
Abstract: Web services have enjoyed rapid acceptance in recent years. The motivating factors for its wide acceptance is the ease and cost effectiveness in application integration. The utilization of a web services based application depends not only on meeting its functional requirements but also its non-functional requirements. As the numbers of web services offering similar functionality and varying degrees of Quality of Service (QoS) are increasing, service consumers face a dilemma in selecting the most appropriate one from the pool. To address this issue, this study proposes a model for determining a suitable web service by integrating AHP (Analytic Hierarchy Process) and VIKOR (Vlsekriterjumskaoptimizacija I Kompromisno Resenje) methods. Using AHP, the weights assigned to QoS criteria are computed. There after, the ranking of the web services, according to a user preferred criteria, is obtained using VIKOR method. Finally, in order to demonstrate the validity of the proposed method, data from the QWS data set are used in a service selection. The results illustrate that Google search service performed better than other web search services under the selected QoS requirements.
Sandile Thamie Mhlanga, Manoj Lall and Sunday O. Ojo, 2020. Web Service Selection Model using a Hybrid Approach. Journal of Engineering and Applied Sciences, 15: 948-955.