a modified Best Fit Decreasing (BFD) \[17\] algorithm. This modified algorithm works based on the current CPU utilization. Beloglazov and Buyya \[18\] proposed several algorithms for VM allocation; these algorithms find overloaded and under loaded hosts, and VM from overloaded hosts which are migrated to a new location where the host is under loaded. They had proposed three policies, Minimum Migration Time (MMT), Random Choice (RC) and Maximum Correlation (MC) for VM selections, basically these algorithms select overloaded hosts repeatedly until the host is considered to be overloaded. The MMT, RC and MC policies were developed based on the idea which had been proposed by Verma et al. \[19\].\
Cao et al. \[20\] had proposed a power-saving approach based on a demand forecast for the allocation of VMs. They will try to reduce the total CPU frequency by switching the hosts on/off. The authors took two types of resources into consideration: computing cores and memory. Naha et al. \[21, 22, 34\] proposed the cloud brokering and load balancing method for the cloud data center, the work was validated further in \[33\], but they did not consider the energy-awareness issue. We had proposed Energy aware VM selection Algorithm for the cloud 