STORM: Lightning-Fast Resource Management

E. Frachtenberg, F. Petrini, Juan Fernández Peinador, S. Pakin, S. Coll
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引用次数: 63

Abstract

Although workstation clusters are a common platform for high-performance computing (HPC), they remain more difficult to manage than sequential systems or even symmetric multiprocessors. Furthermore, as cluster sizes increase, the quality of the resource-management subsystem — essentially, all of the code that runs on a cluster other than the applications — increasingly impacts application efficiency. In this paper, we present STORM, a resource-management framework designed for scalability and performance. The key innovation behind STORM is a software architecture that enables resource management to exploit low-level network features. As a result of this HPC-application-like design, STORM is orders of magnitude faster than the best reported results in the literature on two sample resource-management functions: job launching and process scheduling.
STORM:闪电般的资源管理
尽管工作站集群是高性能计算(HPC)的通用平台,但它们仍然比顺序系统甚至对称多处理器更难管理。此外,随着集群规模的增加,资源管理子系统的质量(本质上是指在集群上运行的所有代码,而不是应用程序)对应用程序效率的影响越来越大。在本文中,我们提出了STORM,一个为可扩展性和性能而设计的资源管理框架。STORM背后的关键创新是一个软件架构,它使资源管理能够利用底层网络特性。由于这种类似hpc应用程序的设计,STORM在两个示例资源管理功能(作业启动和进程调度)上的速度比文献中报道的最佳结果要快几个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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