期刊文献+

SDN中基于PSVD的交换机迁移算法 被引量:1

A Dynamic Switch Migration Algorithm based on PSVD in SDN
下载PDF
导出
摘要 针对软件定义网络中控制器管理的交换机流量分布不均衡问题,提出一种基于奇异值分解性能预测(PSVD)的交换机动态迁移算法。首先结合当前负载以及过去相似时刻的负载来预测未来时刻的控制器负载信息,然后将目前具有最大资源占用率的交换机迁移至低负载且未来时刻仍然处于低负载状态下的目标控制器。实验结果表明,该算法提高了控制器的资源利用率,实现了控制器的负载均衡,同时缩短了控制器的响应时间。 Aiming at the unbalanced flow of the switch managed by the controller in the Software Defined Network (SDN), a switch migration selection algorithm based on Performance Prediction of Singular Value Decomposition (PSVD) is proposed. By combining the current load and the load at a similar time in the past to predict the load information of the controller in the future, the switch with the maximum resource occupancy is then moved to a target controller that is currently under light load and still under a low load in the future. The experimental results show that this algorithm improves the resource utilization of the controller, realizes load balancing and shortens the response time of the controller.
作者 赵季红 罗金 郭爽乐 赵建龙 蔡田杰 ZHAO Ji-hong;LUO Jin;GUO Shuang-le;ZHAO Jian-long;CAI Tian-jie(School of Communications and Information Engineering,XUPT,Xi'an 710061,China;School of Software Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
出处 《光通信研究》 北大核心 2018年第4期5-9,共5页 Study on Optical Communications
基金 国家自然科学基金资助项目(61531013 61371087)
关键词 软件定义网络 负载均衡 奇异值分解性能预测 交换机迁移 SDN load balance PSVD switch migration
  • 相关文献

参考文献3

二级参考文献69

  • 1Michael W. Berry and Murry Browne, Understanding Search Engines Mathematical Modeling and Text Retrieval. University of Tennessee, USA, PP. 31-39.
  • 2William B. Frakes, Ricardo Baeza-yates. Information retrieval: data structures and algorithms. Prentice- Hall. Inc. USA, PP 420-441.
  • 3Y.H. LI and A. K. JAIN. Classification of Text Documents. The Computer Journal. Vol. 42, No. 8, 1998. 537- 543.
  • 4Mckeown 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].
  • 5Elliott C. GENI: Opening up new classes of experiments in global networking. IEEE Internet Computing, 2010,14(1):39-42.
  • 6Gavras 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].
  • 7JGN2plus. 2012. http://www.jgn.nict.go.jp/english/index.html.
  • 8SOFIA. 2012. http://fi.ict.ac.cn/research/sofia_overview.htm.
  • 9Yang L, Dantu R, Anderson T, Gopal R. Forwarding and Control Element Separation (ForCES) Framework. RFC 3746, 2004. http://tools.ietf.org/html/rfc3746.
  • 10Greenberg 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].

共引文献450

同被引文献10

引证文献1

二级引证文献3

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