Redundant Iaas Cloud Selection With Consideration Of Multi Criteria Decision Analysis

Abstract

Due to the rapid growth of dependency over Mobile cloud system, the demand of high computational system increases rapidly. Cloud computing gives the flexibility to users to use high computation system at nominal cost and scalability in dynamic and on demand fashion. The term offloading has attracted the researcher to obtain the highly capable cloud system with certain limitations such as minimum processing and communication time, make span, minimum operational cost. Offloading of data and application have definite positive keynotes such as it can extend the battery life of IOT devices also it is suitable for critical events (events those require minimum response time). In today, numerous cloud services providers are offering customized services, they are dedicated to fulfill the demands of user with negotiable service level agreement. But due to the inherent uncertainty involved in human judgment and lack of learning capacity, a dynamic cloud selection and decision model is required to evaluate the user preferences. That can recommend an optimal and redundant cloud system from the available pool of cloud service providers. Resolving of uncertainties and ambiguity in human’s decision are solved through fuzzy set theory. In this paper, an optimal and redundant cloud selection model has been presented on the basis of multi criteria decision analysis under consideration. Weighted Sum Model, Fuzzy Analytic Hierarchy Process and Fuzzy Revised Analytic Hierarchy Process are evaluated on 10 different criterions. Overall the outranking result for the considered datasets is similar, while the computation power of AHP method is ideally superior with comparison to revised AHP method.