A Framework to Evaluate and Predict Performances in Virtual Machines Environment

Virtualization technology becomes more and more important in area of compute science, such as data center and server consolidation. A large number of hypervisors are available to manage the virtualization either on bare hardware or on host operating systems. One of the important task for the designer is to measure and compare the performance overhead of given virtual machines. In this paper, we provide an analytic framework for the performance analyzing either without running a system or in a runnable real system. Meanwhile, analytic performance models that are based on the queue network theory are developed to study the designs of virtual machines. At the end, a case study of the mathematical models is given to illustrate the performance evaluation.