Self-Optimizing Mechanism for Dynamic Switch Migration in SDN
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [15]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    In order to make full use of the resource of SDN controllers, as well as to improve the load balance degree among those controllers, a dynamic switch migration mechanism is proposed in this paper. The proposed dynamic migration solution is designed based on the Self-Optimizing Mechanism (SOM). It divides the network into several domains according to the deployment of SDN controllers. By comparing the relevant parameters of each domain, the proposed mechanism can quickly select appropriate target switches and migrating destinations. The load balance of multi-controller, flow latency and algorithm complexity are the main factors of the algorithm. The advantage of the algorithm is that it can flexibly manage the SDN control plane by local dynamic adjustment. Simulation results verify that the proposed mechanism can enhance the balance among controllers, and reduce the flow setup latency, while the computation complexity during the migrating process is kept at a reasonable level.

    Reference
    [1] Xia WF, Wen YG, Foh CH, et al. A survey on software-defined networking. IEEE Communications Surveys & Tutorials, 2015, 17(1):27-51.
    [2] Nunes BAA, Mendonca M, Nguyen XN, et al. A survey of software-defined networking:Past, present, and future of programmable networks. IEEE Communications Surveys & Tutorials, 2014, 16(3):1617-1634.
    [3] Heller B, Sherwood R, McKeown N. The controller placement problem. Proc. of the first Workshop on Hot Topics in Software Defined Networks. New York, USA. 2012. 7-12.
    [4] Yao G, Bi J, Li YL, et al. On the capacitated controller placement problem in software defined networks. IEEE Communications Letters, 2014, 18(8):1339-1342.[DOI:10.1109/LCOMM.2014.2332341]
    [5] Dixit A, Hao F, Mukherjee S, et al. Towards an elastic distributed SDN controller. Proc. of the second ACM SIGCOMM workshop on Hot topics in software defined networking. New York, USA. 2013. 7-12.
    [6] Mckeown N, Anderson T, Balakrishnan H, et al. OpenFlow:Enabling innovation in campus networks. Acm Sigcomm Computer Communication Review, 2008, 38(2):69-74.[DOI:10.1145/1355734]
    [7] Bari MF, Roy AR, Chowdhury SR, et al. Dynamic controller provisioning in software defined networks. Proc. of the 9th International Conference on Network and Service Management. Zurich, Switzerland. 2013. 18-25.
    [8] Wang T, Liu FM, Guo J, et al. Dynamic SDN controller assignment in data center networks:Stable matching with transfers. IEEE INFOCOM 2016-the 35th Annual IEEE International Conference on Computer Communications. San Francisco, CA, USA. 2016. 1-9.
    [9] Yao L, Hong P, Zhou W. Evaluating the controller capacity in software defined networking. Proc. of the 23th IEEE International Conference on Computer Communication and Networks. Shanghai, China. 2014. 1-6.
    [10] Krishnamurthy A, Chandrabose SP, Gember-Jacobson A. Pratyaastha:An efficient elastic distributed SDN control plane. Proc. of the third Workshop on Hot Topics in Software Defined Networking. New York, USA. 2014. 133-138.
    [11] Akyildiz IF, Wang P, Lin SC. SoftAir:A software defined networking architecture for 5G wireless systems. Computer Networks, 2015, 85:1-18.[DOI:10.1016/j.comnet.2015.05.007]
    [12] Kandula S, Sengupta S, Greenberg A, et al. The nature of data center traffic:Measurements & analysis. Proc. of the 9th ACM SIGCOMM Conference on Internet Measurement. New York, USA. 2009. 202-208.
    [13] Benson T, Akella A, Maltz DA. Network traffic charac-teristics of data centers in the wild. Proc. of the 10th ACM SIGCOMM conference on Internet Measurement. New York, USA. 2010. 267-280.
    [14] Cheng GZ, Chen HC, Hu HC, et al. Dynamic switch migration towards a scalable SDN control plane. International Journal of Communication Systems, 2016, 29(9):1482-1499.[DOI:10.1002/dac.v29.9]
    [15] Jarschel M, Lehrieder F, Magyari Z, et al. A flexible openflow-controller benchmark. Proc. of the 2012 European Workshop on Software Defined Networking. Washington DC, USA. 2012. 48-53.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

童俊峰,闫连山,邢焕来,崔允贺.基于自优化的SDN交换机动态迁移机制.计算机系统应用,2017,26(11):82-88

Copy
Share
Article Metrics
  • Abstract:1933
  • PDF: 2462
  • HTML: 0
  • Cited by: 0
History
  • Received:March 26,2017
  • Revised:April 26,2017
  • Online: October 30,2017
Article QR Code
You are the first990403Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063