Benchmarking Bare Metal Cloud Servers for HPC Applications

P. Rad, Anthony T. Chronopoulos, P. Lama, P. Madduri, C. Loader
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引用次数: 21

Abstract

Cloud Computing is an ever-growing paradigm shift in computing allowing user's commodity access to compute and storage services. As such cloud computing is an emerging promising approach for High Performance Computing (HPC) application development. Automation of resource provision offered by Cloud computing facilitates the eScience programmer usage of computing and storage resources. Currently, there are many commercial services for compute, storage, network and many others from big name companies. However, these services typically do not have performance guarantees associated with them. This results in unexpected performance degradation of user's applications that can be somewhat random to the user. In order to overcome this, a user must be well versed in the tools and technologies that drive Cloud Computing. One of the state of the art cloud systems, is a cloud system that provides bare metal server instances on demand. Unlike traditional cloud servers, bare metal cloud servers are free from virtualization overheads, and thus promise to be more suitable for HPC applications. In this paper, we present our study on the performance and scalability of Open stack based bare metal cloud servers, using a popular HPC benchmark suite. Our experiments conducted at UTSA Open Cloud Institute's cloud system with 200 cores demonstrate excellent scaling performance of bare metal cloud servers.
为HPC应用程序测试裸机云服务器
云计算是一种不断增长的计算模式转变,允许用户的商品访问计算和存储服务。因此,云计算是高性能计算(HPC)应用程序开发的一种新兴的有前途的方法。云计算提供的自动化资源供应方便了eScience程序员对计算和存储资源的使用。目前,有许多来自大公司的计算、存储、网络和其他许多商业服务。然而,这些服务通常没有与之相关的性能保证。这将导致用户应用程序的意外性能下降,这对用户来说可能是随机的。为了克服这一点,用户必须精通驱动云计算的工具和技术。最先进的云系统之一是按需提供裸机服务器实例的云系统。与传统的云服务器不同,裸机云服务器没有虚拟化开销,因此更适合HPC应用程序。在本文中,我们使用流行的HPC基准测试套件,对基于Open stack的裸机云服务器的性能和可扩展性进行了研究。我们在UTSA开放云研究所的200核云系统上进行的实验表明,裸机云服务器具有出色的扩展性能。
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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