Optimization of virtual resources allocation in cloud computing environment

Abstract

In cloud computing, the allocation of resources plays a key role in determining the performance, resource utilization and power consumption of the data center. The appropriate allocation of virtual machines in cloud data centers is also one of the important optimization problems in cloud computing, especially when the cloud infrastructure is made of lightweight computing devices. In this paper, we represent the resources' allocation problem in cloud computing environment as a linear programming model and propose a Hungarian Algorithm Based Binding Policy(HABBP) as a solution for optimizing the model. Finally, we propose an HABBP software implementation as contributed code to the popular CloudSim simulator and compared the HABBP performance to the conventional CloudSim binding policy and a binding based on the Simplex algorithm. Our simulation results show that the newly proposed policy outperforms the conventional binding policy implemented in the CloudSim in terms of jobs total execution time.