CSR---PDOS: Harnessing Virtualized Cluster Resources

大规模计算资源越来越多地通过商品工作站的分布式集群交付，这些工作站作为一个整体，以显著降低的成本提供传统超级计算机的原始马力。不幸的是，经济现实仍然要求必须在多个不同的应用程序之间共享大型集群，每个应用程序都有自己的资源需求。该项目侧重于设计和实现一个高效的管理框架，该框架支持虚拟集群的创建、分配和管理。虚拟集群是一组物理机器之上的逻辑抽象，它利用虚拟机技术在竞争的应用程序需求之间更有效地共享计算资源，同时确保故障隔离。重要的是，该建议利用虚拟机监视器的强大功能，为新兴的应用程序类别提供新颖的功能。特别是，通过揭示并行性的动态水平、扩展逻辑时间和支持明显无限大的集群，这项工作支持网格计算、网络建模和互联网流行病学的独特需求。这项工作的输出将是一个完全可操作的环境，用于管理基于集群的计算资源，并与公开可用的虚拟机技术相集成。除了根据需求和应用程序负载的变化动态调整资源外，虚拟集群还可以立即创建现有虚拟机的克隆，这是部署大规模高保真蜜罐的关键功能。最后，降低虚拟集群内的逻辑时间的能力——从而加快网络通信的相对速度——使得网络链接的仿真速度比通常在商品集群上可用的速度快几个数量级。

Large-scale computational resources are increasingly being delivered through distributed clusters of commodity workstations, which, when taken as a whole, provide the raw horsepower of traditional supercomputers at significantly reduced cost. Unfortunately, economic reality still dictates that large clusters must be shared across multiple, distinct applications, each with their own resource needs. This project focuses on designing and implementing an efficient management framework that enables the creation, allocation, and management of virtual clusters.A logical abstraction layered on top of a set of physical machines, virtual clusters harness virtual machine technology to more efficiently share computational resources between competingapplication demands while ensuring fault isolation. Critically, this proposal leverages the power of virtual machine monitors to provide novel functionality for an emerging class of applications. Inparticular, by exposing the dynamic levels of parallelism, dilating logical time, and supporting apparently infinitely large clusters, this work supports the distinctive needs of grid computing, network modeling, and Internet epidemiology.An output of this work will be a fully operational environment for managing cluster-based computational resources integrated with publicly available virtual machine technology. In addition to dynamically adjusting resources in response to changes in demand and application load, virtual clusters can instantly create clones of existing virtual machines, a functionality critical to the deployment of large-scale high-fidelity honeypots. Finally, the ability to slow down logical time within a virtual cluster---thereby speeding up the relative speed of network communication---enables the emulation of network links orders of magnitude faster than those typically available on commodity clusters.