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An efficient latency monitoring scheme in software defined networks

机译:软件定义网络中的有效延迟监视方案

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摘要

The new architecture caught the attention of more and more scholars, called Software Defined Networks (SDN), separates the control plane from the data plan. Meanwhile, many applications which are sensitive to the QoS demand the network reach a certain latency constraint. The SDN brings new opportunity for measuring latency. However, with the expansion of network scale and the requirement of time-delay accuracy, the performance of the controller itself becomes the bottleneck of the requirements. This paper is based on the SDN latency monitoring solution to improve the efficiency and performance of the detection. Periodical triangular function is used in this paper to fit the available latent data so as to judge the variation period and more accurately fit the actual latency data. An optimization algorithm for detection period and time is proposed in this paper which can reduce the detection and time while ensuring the accurate latency monitoring. Compared to other method, the experimental results indicate that it allows for more accurate delay monitoring with smaller performance and network resources in the proposed algorithm.
机译:这种称为“软件定义网络(SDN)”的新体系结构吸引了越来越多学者的注意,它将控制平面与数据计划分开了。同时,许多对QoS敏感的应用程序要求网络达到一定的延迟约束。 SDN为测量延迟带来了新机会。但是,随着网络规模的扩大和对延时精度的要求,控制器本身的性能成为要求的瓶颈。本文基于SDN延迟监视解决方案,以提高检测效率和性能。本文使用周期性三角函数来拟合可用的潜在数据,从而判断变化周期并更准确地拟合实际的潜伏时间数据。提出了一种检测周期和时间的优化算法,该算法可以减少检测和时间,同时又保证了精确的等待时间监控。与其他方法相比,实验结果表明,在所提出的算法中,它可以以较小的性能和网络资源进行更准确的延迟监视。

著录项

  • 来源
    《Future generation computer systems》 |2018年第6期|303-309|共7页
  • 作者单位

    Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),College of Computer Science and Engineering, Shandong University of Science and Technology;

    Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences);

    Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences);

    College of Computer Science and Engineering, Shandong University of Science and Technology;

  • 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

    Software defined networks; Latency monitoring; QoS; OpenFlow;

    机译:软件定义的网络;延迟监控;QoS;OpenFlow;

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