Server virtualization technology provides an alternative for server consolidation by creating a set of logical resources that share underlying physical resources. Xen virtual machine monitor, a popular virtualization solution in Linux world, supports execution of multiple guest operating systems

the design, implementation and evaluation of highperformance OS migration built on top of the Xen VMM. 1

Virtual machine monitors (VMMs) have been hailed as the basis for an increasing number of reliable or trusted computing systems. The Xen VMM is a relatively small piece of software – a hypervisor – that runs at a lower level than a conventional operating system in order to provide isolation between

Abstract. Virtual Machine Monitors (VMMs) are gaining popularity in enterprise environments as a software-based solution for building shared hardware infrastructures via virtualization. In this work, using the Xen VMM, we present a light weight monitoring system for measuring the CPU usage

This paper describes VMGL, a cross-platform OpenGL virtualization solution that is both virtual machine monitor (VMM) and graphics processing unit (GPU) independent. VMGL allows applications executing within virtual machines (VMs) to leverage hardware rendering acceleration, thus solving a problem

Xen is a virtual machine monitor (VMM) that we have developed at the University of Cambridge over the past 5 years. As a VMM, Xen allows a single physical computer to be partitioned into a set of isolated virtual computers, each running their own operating system and applications. Xen has received

-ditions of such high consolidation: CPU schedulers that are agnostic to the communication behavior of modern, multi-tier applications. We develop a new communication-aware CPU scheduling algorithm to alleviate this problem. We im-plement our algorithm in the Xen VMM and build a proto-type VHP on a cluster of servers

• Xen is a virtual machine monitor (VMM) for x86,

Currently, I/O device virtualization models in virtual machine (VM) environments require involvement of a virtual machine monitor (VMM) and/or a privileged VM for each I/O operation, which may turn out to be a performance bottleneck for systems with high I/O demands, especially those equipped

accounting mechanism. We implement our algorithms in the Xen VMM and build a prototype VHP on a cluster of 36 servers. Our experimental evaluation with realistic Internet server applications and benchmarks demonstrates the performance/cost benefits and the wide applicability of our algorithms. For example