CSR-VCM: Dynamic Reconfiguration in Virtualized Data Centers

现代数据中心采用虚拟化架构，其中应用程序组件在虚拟机内运行，一个或多个虚拟机映射到每台物理服务器。该项目的重点是设计一个可以动态地将物理资源重新映射到虚拟资源的虚拟数据中心，并利用这种动态重新配置功能自动执行服务器整合、动态容量调配和系统演进等管理任务。有三个重点领域：虚拟数据中心的低开销非侵入性监控、用于整合和资源调配的灵活重新配置，以及使用虚拟副本进行受控演进。非侵入性监控涉及一种新的黑盒方法，该方法仅根据外部观察推断资源使用情况。灵活的系统重新配置利用这些黑盒测量来使用虚拟机迁移和灵活复制的组合自动执行重新配置任务，如容量调配和服务器整合。最后一种技术利用在虚拟机内运行并发应用程序副本的能力，以缓解系统从一个版本发展到另一个版本所面临的障碍。在运行真实世界数据中心应用程序的Linux/Xen集群试验台上，系统原型和实验评估的结合将被用来展示这些方法的有效性。广泛的影响包括原型的源代码发布以便于其他研究人员进行进一步的实验，以及本科生通过夏季REU项目参与这项研究。

Modern data centers employ a virtualized architecture where application components run inside virtual machines and one or more virtual machines are mapped onto each physical server. This project focuses on the design of a virtualized data center that can dynamically remap physical to virtual resources and employ such dynamic reconfiguration capabilities to automate management tasks such as server consolidation, dynamic capacity provisioning, and system evolution. There are three areas of focus: low-overhead non-intrusive monitoring in a virtualized data center, agile reconfiguration for consolidation and provisioning, and the use of virtualized replicas for managed evolution. Non-intrusive monitoring involves a novel black-box approach that infers resource usage solely from external observations. Agile system reconfiguration utilizes these black-box measurements to automate reconfiguration tasks such as capacity provisioning and server consolidation using a combination of virtual machine migration and agile replication. The final technique exploits the ability to run concurrent application replicas inside virtual machine to ease hurdles faced in the evolution of the system from one version to another. A combination of system prototyping and experimental evaluation on a Linux/Xen cluster testbed running real-world data center applications will be employed to demonstrate the effectiveness of these methods.Broader impacts include source code release of the prototype to enable further experimentation by other researchers and participation of undergraduate students in this research via summer REU projects.