Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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.
How to cite this article:
Sandile Thamie Mhlanga, Manoj Lall and Sunday O. Ojo. Web Service Selection Model using a Hybrid Approach.
DOI: https://doi.org/10.36478/jeasci.2020.948.955
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2020.948.955