GAO Wen, ZHOU Boyang, WU Chunming, et al., “Safe Reconfiguring Data Plane via Supervision over Resource and Flow States,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 642-647, 2015, doi: 10.1049/cje.2015.07.035
Citation: GAO Wen, ZHOU Boyang, WU Chunming, et al., “Safe Reconfiguring Data Plane via Supervision over Resource and Flow States,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 642-647, 2015, doi: 10.1049/cje.2015.07.035

Safe Reconfiguring Data Plane via Supervision over Resource and Flow States

doi: 10.1049/cje.2015.07.035
Funds:  This work is supported by the National Basic Research Program of China (973 Program) (No.2012CB315903), the Program for Key Science and Technology Innovation Team of Zhejiang Province (No.2013TD20, No.2011R50010-05), 863 Program of China (No.2015AA016103), and the National Natural Science Foundation of China (No.61379118).
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  • Corresponding author: WU Chunming (corresponding author) received the Ph.D. degree in Computer Science from Zhejiang University in 1995, and currently is a professor of College of Computer Science at Zhejiang University. His research fields include network architecture, reconfigurable network, network virtualization,and network security. (Email: wuchunming@zju.edu.cn)
  • Received Date: 2014-01-20
  • Rev Recd Date: 2014-04-11
  • Publish Date: 2015-07-10
  • In the Software-defined networking (SDN), when multiple control domains are used in control services, the transient state problem can occur causing the service flow interruption when border switches are updated asynchronously. We analyze the uniqueness of this problem for SDN, and propose a light-weight protocol for safe reconfiguration of the border switches in order to improve the availability of the services running in SDN. Our solution is designed as a generic supervision layer added in the control plane to support different types of services. To demonstrate the benefits, we implement a prototype of Informationcentric networks (ICN) with the protocol, and conduct experiments using PlanetLab. The results show the ICN service can continuously serve high volume requests for contents despite the congestions built by the heavy background traffic. The performance gains in terms of the mean and standard deviation of the content retrieve delay are 40.5% and 21.56%.
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