Global host allocation policy for virtual machine in cloud computing

Abstract

In world of cloud computing, allocation of virtual machine are on bases of available hardware and software in server of data centers. Most of allocation policy depends on utilization of hardware and software without affecting SLA and Quality of Service as main concern. Every allocation policy maintains some parameter for provide service in extensive level by keep allocation of virtual machine between upper and lower threshold. But dynamic allocation of virtual machine may have deviation in host workload. To deal with this situation a methodology was adopted utilization threshold that provide absolute median deviation for setting up threshold. This methodology has a major impact on dynamic virtual machine allocation in cloud. The dynamic workload on a host occurs due change in VM requesting resources. Even we get effective utilization of virtual machine through median absolute policy still is some resource unallocated in host. For deal with this situation we introduce a Global cloud methodology, main role is to collect all unallocated resource from different resource and provide access to new VM request for increase resource utilization. In this paper we consider Median absolute deviation with global host establishment for better resource utilization and reduce energy consumption.