Energy consumption becoming a key issue for the execution of operation and maintenance of cloud system. The virtual machine selection plays an important role in the execution of the task without violating SLA. In this paper, a VM selection technique is proposed using Dynamic Voltage Frequency Scaling (DVFS) for optimizing the energy consumption and makespan in the cloud system.We have proposed a heuristic for the selection of VM for each task to optimize the energy utilization by applying the DVFS technique. The proposal extends to incorporate an energy model supporting the evaluation of energy consumption in cloud data centers. Each task has an energy-based SLA to execute in the cloud system. The DVFS Mechanism is applied to the virtual machines level to reduce the energy of the cloud system. Moreover, the performance of the diverse algorithms (Random allocation, and FCFS) are compared with the proposed DVFS-based VM selection strategy with the help of CloudSim.