Analytic Hierarchy Process for ResourceAllocation in Cloud Environment

Abstract

Resource management is the primary issue as the demand grows for provisioning resources and computation in cloud systems. When the resource management fails to meet the QoS parameter (response time) requirements, there occurs the due-date assignment problem leading to "resource allocation problem". This can be optimized by various scheduling algorithms. In this paper analytic hierarchy process is discussed for resource sharing. The results demonstrates that this approach reduces the execution time of algorithm and effectively handles vertical elasticity by adding resources in cloud server. Moreover, the experimental results shows that proposed method can effectively allocates the resources than any other algorithms. Finally, this algorithm is also focused on how efficiency is effectively handled in cloud computing environment while allocating resources since efficiency based resource allocation scheme has been taken into account.