Optimized Resource Allocation Model in Cloud Computing System

Abstract

The resource allocation in the cloud system is the major role to determine the performances, resource utilization and total overall power consumption of the cloud data center. The optimal allocation of the virtual machines is one of the resource optimization problems in cloud due to the resource contention and starvation. This paper proposes the important parameters consideration proved with linear programming to be applied for limitation of resource allocation conditions in cloud and to identify the resource minimized allocation model at first. Then, the optimal resource allocation model (ORAM) based on modification of cost matrix in Hungarian algorithm is proposed as a solution and experimental evaluation is carried out for the proposed model. According to the performance evaluation, the proposed model outperforms both the conventional binding policy and existing Hungarian based allocation model HABBP in term of the optimal execution time.