of realistic world setting. Determining the resource usage through application is not easy modelled through plain probability distribution which is shown by several studies \[6,8,9\].\
A new operating system, “Muse” was proposed by Chase et al. \[10\] which can be used in a hosting center, and it is an adaptive resource management system which plays a vital role in integrating energy and power resources for the hosting center. The Muse approach considers resources such as CPU servers by managing other resources like network bandwidth, disks, and memory energy saving, which is also possible \[11,12,13\]. Pinheiro et al. \[14\] introduced three “double-threshold VM selection policies” to determine whether VMs can be migrated. The basis of this policy is to set a lower and upper utilization threshold, so all VMs will be allocated to the host depending on these thresholds.\
Beloglazov and Buyya \[15\] had proposed an efficient resource management policy through VM consolidation for a cloud based data center, and they showed an overall operational cost reduction by using their proposed algorithm. Afterward, Beloglazov et al. \[16\] had proposed a high-level system architecture for cloud data centers by introducing the green service allocator and proposed an VM allocation algorithm by using 