期刊文献+

基于SDN的校园网路径优化策略研究 被引量:2

The Research on the Strategy of Path Optimization for Campus Network Based On SDN
下载PDF
导出
摘要 软件定义网络(SDN)是一种新型网络架构,通过分离控制平面和数据转发平面,对二者进行解耦的同时实现对网络的集中管理和灵活控制。随着传统校园网规模的不断扩大,封闭的网络设备内置了过多的复杂协议,增加了管理员定制和优化网络的难度。同时,校园网内网络流量快速增长,各种新型服务不断出现,传统层次架构网络管理的工作量和运维成本在不断上升。为此,提出基于SDN的新型校园网络架构方案,Openflow交换机作为网络节点,Opendaylight作为控制器,结合改进的Dijkstra最短路径算法对校园网中数据包转发路径进行优化,以减小端到端间的延时,满足多变的用户需求,提高用户使用体验。文中利用Opendaylight控制器和Mininet网络仿真工具建立校园SDN网络模型,并通过实验仿真和数据分析来验证文中所提路径优化策略的有效性,为下一步校园网大规模设计部署SDN网络提供有力的参考。 Software Defined Network is a new kind of network architecture,which promotes centralization of network by separating the networks control plane from its data plane and governs the overall network behavior. Considering such problems as the expanding scale of campus network, more complex protocols of network, network traffic growing, a large variety of the requirements from campus network users and more difficulty of optimizing and managing the traditionoal networks etc. In this paper, a new campus network model based on SDN combined with the improved Dijskstra Algorithm is proposed to test the strategy of path optimization for new campus network model,in which openflow switchs are used as network nodes and opendaylight is used as controller. In addition, Mininet is a network simulation tool that can quickly build a campus network model based on SDN. Through the tests and analyzes which are created by Mininet, the results show that the proposed strategy of path optimization for new campus network model is proved to be effective and feasible, which provides more references for the research on designing campus network based on SDN.
作者 黄国富
出处 《青岛农业大学学报(自然科学版)》 2017年第2期152-156,共5页 Journal of Qingdao Agricultural University(Natural Science)
关键词 软件定义网络(SDN) OpenFlow Dijkstra最短路径算法 Opendaylight控制器 Software Defined Network OpenFlow Dijkstra Opendaylight Controller
  • 相关文献

参考文献7

二级参考文献215

  • 1Mckeown N, Anderson T, Balakrishnan H, Parulkar G, Peterson L, Rexford J, Shenker S, Turner J. OpenFlow: Enabling innovation in campus networks. ACM SIGCOMM Computer Communication Review, 2008,38(2):69-74. [doi: 10.1145/1355734. 1355746].
  • 2Elliott C. GENI: Opening up new classes of experiments in global networking. IEEE Internet Computing, 2010,14(1):39-42.
  • 3Gavras A, Karila A, Fdida S, May M, Potts M. Future Internet research and experimentation: The FIRE initiative. ACM SIGCOMM Computer Communication Review, 2007,37(3):89-92. [doi: 10.114511273445.1273460].
  • 4JGN2plus. 2012. http://www.jgn.nict.go.jp/english/index.html.
  • 5SOFIA. 2012. http://fi.ict.ac.cn/research/sofia_overview.htm.
  • 6Yang L, Dantu R, Anderson T, Gopal R. Forwarding and Control Element Separation (ForCES) Framework. RFC 3746, 2004. http://tools.ietf.org/html/rfc3746.
  • 7Greenberg A, Hjalmtysson G, Maltz DA, Myers A, Rexford J, Xie G, Yan H, Zhan J, Zhang H. A clean slate 4D approach to network control and management. ACM SIGCOMM Computer Communication Review, 2005,35(5):41-54. [doi: 10.1145/1096536. 1096541].
  • 8Caesar M, Caldwell D, Feamster N, Rexford J, Shaikh A, Merwe J. Design and implementation of a routing control platform. In: Proc. of the 2rd USENIX Symp. on Networked Systems Design and Implementation (NSDI). Boston: USENIX Association, 2005. 15-28.
  • 9Casado M, Garfinkel T, Akella A, Freedman MJ, Boneh D, Mckeown N, Shenker S. SANE: A protection architecture for enterprise networks. In: Proc. of the 15th Conf. on USENIX Security Symp. Vancouver: USENIX Association, 2006. 137-151.
  • 10Casado M, Freedman MJ, Pettit J, Luo J, Mckeown N, Shenker S. Ethane: Taking control of the enterprise. In: Proc. of the SIGCOMM 2007. Kyoto: ACM Press, 2007. 1-12. [doi: 10.1145/1282380.1282382].

共引文献529

同被引文献16

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部