数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (5): 98-108.

doi: 10.11871/jfdc.issn.2096-742X.2021.05.007

• 技术与应用 • 上一篇    下一篇

高能物理网格环境网络性能监测与优化技术研究

孙智慧(),齐法制()   

  1. 中国科学院高能物理研究所,北京 100049
  • 收稿日期:2021-01-18 出版日期:2021-10-20 发布日期:2021-11-24
  • 通讯作者: 孙智慧
  • 作者简介:孙智慧,中国科学院高能物理研究所计算中心,硕士,助理研究员,主要研究方向为高性能网络、网络性能及优化、SDN网络及未来网络技术。
    本文中负责虚拟网络技术及选路算法的设计。
    SUN Zhihui, master, is an assistant researcher of computing center, Institute of high energy physics, Chinese Academy of Sciences. His main research directions are high performance network, network performance and optimization, SDN network and future network technology.
    In this paper, he is responsible for the design of virtual network technology and routing algorithm.
    E-mail: sunzh@ihep.ac.cn|齐法制,中国科学院高能物理研究所计算中心,博士,研究员,计算中心副主任,主要研究方向为高性能网络、SDN网络、科学数据处理等。
    本文中负责网络测量方案的设计。
    QI Fazhi, Ph.D, is a researcher and the deputy director of Com-puting Center, Institute of High Energy Physics, Chinese Academy of Sciences. His main research directions are high performance network, SDN network, scientific data processing, etc.
    In this paper, he is responsible for the design of network mea-surement scheme.
    E-mail: qfz@ihep.ac.cn
  • 基金资助:
    国家自然科学基金(11705223);国家自然科学基金(11675199)

Research on Network Performance Measurement and Optimization Technology in High Energy Physical Grid Environment

SUN Zhihui(),QI Fazhi()   

  1. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2021-01-18 Online:2021-10-20 Published:2021-11-24
  • Contact: SUN Zhihui

摘要:

【目的】利用SDN架构网络实现对高能物理数据传输路径选择的优化,提升高能物理合作单位之间数据传输效率。【方法】采用面向服务的网络性能测量框架perfSONAR、基于GRE的虚拟网络技术以及基于SDN的控制技术来实现提出的目标。【结果】提出一种面向高能物理网格环境网络性能测量与性能优化方法,首先采用SDN技术及虚拟网络技术在高能物理网格环境中构建基于SDN架构的高能物理数据共享虚拟专用网,然后采用面向服务的网络性能测量框架perfSONAR设计并实现面向高能物理网格环境网络性能监测及可视化平台,基于网络性能探测的结果,结合本文提出的最优路径计算方法选择出高能物理网格环境中两个节点之间的最优数据共享路径。【结论】测试结果表明本文的方法能提升高能物理网格环境中数据共享的效率,能够为高能物理网格环境中节点间数据高速、稳定传输提供可靠的保障。

关键词: 网络测量, 网络性能, 网格技术, 软件定义网络, 虚拟专用网

Abstract:

[Objective] We use the SDN architecture network to optimize the selection of high-energy physical data transmission paths, and improve the data transmission efficiency between high-energy physics cooperation units. [Methods] In this paper, we use the service-oriented network performance measurement framework perfSONAR, GRE-based virtual network technology, and SDN-based control technology to achieve our goals. [Results] We propose a method for network performance measurement and performance optimization in a high-energy physical grid environment. First, SDN technology and virtual network technology are used to construct a high-energy physical data sharing virtual private network based on the SDN architecture in the high-energy physical grid environment. Then, perfSONAR is used to design and implement a network performance measurement and visualization platform. Given the results of network performance measurement in the high-energy physics grid environment, the optimal data sharing path between two nodes can be selected based on the optimal path calculation method proposed in this paper. [Conclusions] Test results show that this method can improve the efficiency of data sharing, and provide a reliable guarantee for high-speed and stable data transmission between nodes in the high-energy physics grid environment.

Key words: network measurement, network performance, grid technology, SDN, virtual private network