Efficient cloud service ranking based on uncertain user requirements

Abstract

In a cloud computing environment, there are many providers offering various services of different quality attributes. Selecting a cloud service that meets user requirements from such a large number of cloud services is a complex and time-consuming process. At the same time, user requirements are sometimes described as uncertain (sets or intervals), something which should be taken into account while selecting cloud services. This paper proposes an efficient method for ranking cloud services while accounting for uncertain user requirements. For this purpose, a requirement interval is defined to fulfill uncertain user requirements. Since there are a large number of cloud services, the services falling outside the requirement interval are filtered out. Finally, analytic hierarchy process (AHP) is employed for ranking. Experimental results evaluate the proposed method in term of optimality of ranking, scalability, and sensitivity analyses. According to the test results, the proposed method outperforms the previous methods.