A multicriteria decision-making method for cloud service selection and ranking

Abstract

Recent advancement in the field of Cloud computing shows that Cloud services play a crucial role in terms of on-demand services on a subscription basis. A number of available enterprises offer a large number of Cloud services to their customers. Subsequently, increased number of available Cloud services has drawn enormous attention of the customers as a challenging decision-making problem. Due to vast availability of Cloud services, it is very difficult for the users to decide about the best service and reason for its selection. In this paper, we have proposed a multicriteria decision-making method (TOPSIS) to help customers to select a better Cloud service among the set of existing Cloud services with the satisfaction of their requirements. As a result, we found that the proposed method is practical for solving Cloud service selection problem. Moreover, we have compared the simulated results with the existing approaches as analytical hierarchy priority (AHP) and fuzzy AHP method which shows proposed method is flexible and achieve better accuracy.