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Virtualized HPC: a contradiction in terms?

机译:虚拟化HPC:术语上的矛盾?

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摘要

System virtualization has become the enabling technology to manage the increasing number of different applications inside data centers. The abstraction from the underlying hardware and the provision of multiple virtual machines (VM) on a single physical server have led to a consolidation and more efficient usage of physical servers. The abstraction from the hardware also eases the provision of applications on different data centers, as applied in several cloud computing environments. In this case, the application need not adapt to the environment of the cloud computing provider, but can travel around with its own VM image, including its own operating system and libraries. System virtualization and cloud computing could also be very attractive in the context of high-performance computing (HPC). Today, HPC centers have to cope with both, the management of the infrastructure and also the applications. Virtualization technology would enable these centers to focus on the infrastructure, while the users, collaborating inside their virtual organizations (VOs), would be able to provide the software. Nevertheless, there seems to be a contradiction between HPC and cloud computing, as there are very few successful approaches to virtualize HPC centers. This work discusses the underlying reasons, including the management and performance, and presents solutions to overcome the contradiction, including a set of new libraries. The viability of the presented approach is shown based on evaluating a selected parallel, scientific application in a virtualized HPC environment.
机译:系统虚拟化已成为管理数据中心内部越来越多的不同应用程序的使能技术。来自底层硬件的抽象以及在单个物理服务器上提供多个虚拟机(VM)导致了物理服务器的整合和更有效的使用。硬件的抽象还简化了在多个云计算环境中应用的在不同数据中心上的应用程序的提供。在这种情况下,该应用程序无需适应云计算提供商的环境,而是可以随身携带其自己的VM映像(包括其自己的操作系统和库)运行。在高性能计算(HPC)的背景下,系统虚拟化和云计算也可能非常有吸引力。如今,HPC中心必须同时应对基础架构和应用程序的管理。虚拟化技术将使这些中心能够专注于基础架构,而在其虚拟组织(VO)内部进行协作的用户将能够提供软件。但是,由于很少有成功的方法可以虚拟化HPC中心,因此HPC与云计算之间似乎存在矛盾。这项工作讨论了包括管理和性能在内的根本原因,并提出了克服这一矛盾的解决方案,包括一套新的库。通过评估在虚拟化的HPC环境中选择的并行科学应用程序,显示了所提出方法的可行性。

著录项

  • 来源
    《Software》 |2012年第4期|p.485-500|共16页
  • 作者单位

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

    Paderborn Center for Parallel Computing, Ftirstenallee 11, 33102 Paderborn, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    virtualization; HPC; cloud; scheduling;

    机译:虚拟化;HPC;云;排程;
  • 入库时间 2022-08-17 13:03:46

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