CSR: PDOS: RIVER: Resource Management Infrastructure for Consolidated Hosting in Virtualized Data Centers

最近服务器虚拟化研究的复苏引起了大型数据中心提供商的极大兴趣，他们希望利用这项技术为托管设计改进的解决方案。虚拟化有望提高资源整合程度，同时降低管理、维修和电力的运营成本。因此，从多个方面来看，设计高效的虚拟数据中心是一项可取且有价值的工作。然而，从传统托管模式到虚拟模式的转变并不是一件微不足道的事情。要实现虚拟化必须提供的与整合相关的好处，需要重新考虑：(I)VMM内的调度器，(Ii)资源使用监控和记账机制，以及(Iii)系统范围的动态资源供应机制。该提案确定了在虚拟数据中心的所有这些方面出现的关键挑战，并开发了名为River的全面解决方案来解决这些挑战。River将做出以下具体贡献：(I)改进的虚拟机监控器(VMM)内的资源管理算法，其使用水平(在VMM中的调度器之间)和垂直(在VMM和托管的OS调度器之间)协作；(Ii)高效且稳定的动态资源配置；以及(Iii)系统原语，其将为通过减少虚拟化开销来改进成本削减的配置算法提供新的机会。将开发一个基于Xen的原型River数据中心，并将生成的代码提供给社区。最后，我们将重新设计与宾夕法尼亚州立大学系统课程相关的实验，以采用虚拟托管课堂项目。

The recent resurgence of research in server virtualization has created a lot of interest among providers of large-scaledata centers in employing this technology to design improved solutions for managed hosting. Virtualization holds the promise of increaseddegrees of resource consolidation with accompanying reduction inoperational costs of administration, repair, and electricity. Designing efficient virtualized data centers is therefore a desirable and worthy endeavor in multiple ways. The transition from traditional hosting models to a virtualized model is, however, not a trivial one. Realizingthe consolidation-related benefits that virtualization has tooffer requires a re-consideration of: (i) schedulers within the VMM,(ii) mechanisms for resource usage monitoring and accounting, and (iii) system-wide dynamic resource provisioning mechanisms. This proposal identifies the key challenges that arise onall these fronts in a virtualized data center, and develops a comprehensive solution, called River, to address them. River will make the following specific contributions: (i) improvedresource management algorithms within the virtual machine monitor (VMM) that use both horizontal (between the schedulers in the VMM) and vertical (between VMM and hosted OS schedulers) co-operation, (ii) efficient and stable dynamic resource provisioning, and (iii) systems primitives that would provide new opportunitiesto the provisioning algorithms for improved cost-cutting via reduction of virtualization overheads. A prototype River data center basedon Xen will be developed and resulting code made available to the community. Finally, we willre-design the labs associated with the systems courses at Penn State to employ virtualized hosting of class projects.