Performance Metrics of Local Cloud Computing Architectures

2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing Pub Date : 2015-11-03 DOI:10.1109/CSCloud.2015.61

Travis Brummett, Pezhman Sheinidashtegol, Debadrita Sarkar, Jeffrey M. Galloway

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引用次数: 8

Abstract

Cloud Computing is a rapidly growing branch of distributed computing. There have been many proposed open source cloud architectures. The purpose of this paper is to look at three of the most popular open source architectures: Eucalyptus, OpenStack, and OpenNebula. These three architectures were compared by their ease of installation and performance. The benchmarks performed calculated CPU performance, Network performance, and I/O performance. The CPU performance was measured by a Python program that calculated Pi to a given digit and returned the time taken to complete the task. Our Network performance benchmark made use of two Virtual Machines (VMs) and the Iperf tool to send data over the network. The results were measured by network throughput between VMs. Finally, I/O performance made use of a MySQL table of 100,000 entries and the sysbench tool to benchmark varying amounts of threads by measuring the number of transactions per second. We also ran these benchmarks on a micro instance of Amazon's Elastic Compute Cloud (EC2) to compare results.

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本地云计算架构的性能指标

云计算是分布式计算的一个快速发展的分支。已经提出了许多开源云架构。本文的目的是研究三种最流行的开源架构:Eucalyptus、OpenStack和OpenNebula。通过对这三种体系结构的易于安装和性能进行比较。基准测试执行计算的CPU性能、网络性能和I/O性能。CPU性能是通过一个Python程序来衡量的，该程序将圆周率计算到一个给定的数字，并返回完成任务所需的时间。我们的网络性能基准测试使用两个虚拟机(vm)和Iperf工具通过网络发送数据。结果是通过vm之间的网络吞吐量来衡量的。最后，I/O性能使用了包含100,000个条目的MySQL表和sysbench工具，通过测量每秒的事务数来对不同数量的线程进行基准测试。我们还在Amazon的Elastic Compute Cloud (EC2)的一个微实例上运行了这些基准测试，以比较结果。

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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2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing

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