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Performance evaluation for SDN deployment: an approach based on stochastic network calculus

机译:SDN部署的性能评估:一种基于随机网络演算的方法

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摘要

The OpenFlow implementations (SDNs) have been deployed increasingly on varieties of networks in research institutions as well as commercial institutions. To develop an OpenFlow implementation, it is required to understand the performance of the network. A few benchmark tools (e.g., Cbench and OFlops) can be used to measure the network performance, while these tools take considerable time to simulate traffic behaviors and generate the required results, therefore extending the development time. In this paper, we present an analytical model, which is based on stochastic network calculus theory, for evaluating the performance of switch to controller. The previous studies show that stochastic network calculus can provide realistic emulation of real network traffic behaviors. Our model is evaluated by using both simulation tool and realistic testbed. The results show the stochastic network calculus based analysis model can realistically measure the network performance of the end-to-end properties between controller and switch.
机译:OpenFlow实施(SDN)已越来越多地部署在研究机构和商业机构的各种网络中。要开发OpenFlow实施,需要了解网络的性能。可以使用一些基准测试工具(例如Cbench和OFlops)来衡量网络性能,而这些工具会花费大量时间来模拟流量行为并生成所需的结果,从而延长了开发时间。在本文中,我们提出了一种基于随机网络演算理论的分析模型,用于评估切换至控制器的性能。先前的研究表明,随机网络演算可以提供对实际网络流量行为的逼真的仿真。我们的模型是通过使用仿真工具和实际测试平台进行评估的。结果表明,基于随机网络演算的分析模型可以真实地测量控制器和交换机之间端到端属性的网络性能。

著录项

  • 来源
    《Communications, China》 |2016年第supplement期|98-106|共9页
  • 作者单位

    Next Generation Network Laboratory, College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, Zhejiang Province, China;

    Next Generation Network Laboratory, College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, Zhejiang Province, China;

    Next Generation Network Laboratory, College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, Zhejiang Province, China;

    Centre for Intelligent Systems and their Applications, University of Edinburgh, U.K;

    School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang Province, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Stochastic processes; Calculus; Switches; Delays; Analytical models; Queueing analysis;

    机译:随机过程;微积分;开关;延迟;分析模型;排队分析;
  • 入库时间 2022-08-17 23:57:49

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