CSR---PDOS: Harnessing Virtualized Cluster Resources

大规模计算资源越来越多地通过分布式商用工作站集群来提供，这些工作站作为一个整体，以显著降低的成本提供了传统超级计算机的原始马力。 不幸的是，经济现实仍然要求大型集群必须在多个不同的应用程序之间共享，每个应用程序都有自己的资源需求。 该项目的重点是设计和实现一个有效的管理框架，使虚拟集群的创建，分配和管理。一个逻辑抽象层上的一组物理机器，虚拟集群利用虚拟机技术，以更有效地共享计算资源之间的竞争应用程序的需求，同时确保故障隔离。 重要的是，该建议利用虚拟机监视器的功能为新兴的应用程序类别提供新的功能。 特别是，通过暴露的动态水平的并行性，扩张的逻辑时间，并支持显然是无限大的集群，这项工作支持网格计算，网络建模和互联网epidemiology.An输出的独特需求，这项工作将是一个完全可操作的环境管理集群为基础的计算资源与公开可用的虚拟机技术相结合。 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，在虚拟集群中减慢逻辑时间的能力-从而加快网络通信的相对速度-使得网络链路的仿真比那些通常在商品集群上可用的要快几个数量级。

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.