Abstract Energy efficiency is a critical issue in the management and operation of cloud data centers, which form backbone computing. Virtual machine (VM) placement has significant impact on energy-efficiency improvement for virtualized centers. Among various methods to solve VM-placement problem, genetic algorithm (GA) been well accepted quality its solution. However, GA also computationally de...

Migrations of Virtual Machine directly influence on energy consumption and QoS, to avoid migration of virtual machine when a host is overloaded a good placement technique need to be applied. Virtual Machine Placement is vital in cloud computing to utilize the resources in an efficient manner. Migration of a VM instance when a host is overloaded is familiar in cloud computing. VM selection polic...