A Hybrid Queuing Model for Virtual Machine Placement in Cloud Data Cente

Abstract

Virtual Machine (VM) placement is an important research area for power conservation in data centers. In this paper, we introduce a hybrid queuing model for VM placement for data centers to improve total placement time and earn more revenue. For the large data center management smaller placement times lead to greater quality of service (QoS) experienced by an user of the cloud infrastructure. Similarly, the larger the number of VMs that can be placed in a server racks, higher the justification of the placement cost. We thus propose a ILP, that provides maximum justification of the revenue earn along with minimizing placement time. In addition, we also study the rate of loss of VM placement requests and total utilization of the system as the arrival rate of VMs increase