JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2019, Vol. 54 ›› Issue (5): 21-27.doi: 10.6040/j.issn.1671-9352.2.2018.153

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A deployment strategy for fault recovery of SDN control nodes

Zhen-peng LIU1,3(),Wen-sheng WANG1,Yu-peng HE2,Jing-wei SUN1,Bin ZHANG3,*()   

  1. 1. School of Electronic Information Engineering, Hebei University, Baoding 071002, Hebei, China
    2. School of Cyber Security and Computer, Hebei University, Baoding 071002, Hebei, China
    3. Center for Information Technology, Hebei University, Baoding 071002, Hebei, China
  • Received:2018-09-20 Online:2019-05-20 Published:2019-05-09
  • Contact: Bin ZHANG E-mail:lzp@hbu.edu.cn;zb@hbu.edu.cn
  • Supported by:
    河北省创新能力提升计划项目(179676278D);河北省创新能力提升计划项目(17455309D);教育部云数融合科教创新基金资助项目(2017A20004)

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Abstract:

Aiming at the situation that the controller has an unrecoverable fault during the operation of the software defined network (SDN) in the WAN, a deployment method considering the fault of the controller node is proposed. Firstly, the network is divided into multiple sub-networks, and then an improved particle swarm optimization algorithm is proposed to deploy the SDN controller in order to achieve higher reliability, lower delay and more balanced load. In the process of network operation, when the controller has an unrecoverable fault, the entropy weight multi-objective decision method is used to determine the target slave controller in the faulty area and upgrade it to the master controller to ensure the normal operation of the network. The experimental results show that compared with the K-means or greedy algorithm, the controller deployment using this method improves the network key indicators such as load balancing rate and link delay of the SDN network, and can reduce decrease the impact of controller failure points on the normal operation of the network at a relatively low costs.

Key words: software defined network, particle swarm optimization, entropy weight multi-objective decision making, wide area network, switch dynamic migration, control node failure, network recovery

CLC Number: 

  • TP393

Fig.1

Architecture of the SDN network"

Table 1

Program analysis evaluation form"

因素方案1方案2…方案n
交换机到控制器的平均时间延迟的倒数b11b12…b1n
控制器的剩余处理能力b21b22…b2n
负载均衡率b31b32…b3n

Table 2

Entropy weights of various factors"

因素交换机到控制器平均时间延迟的倒数控制器剩余处理能力负载均衡率
熵(Hi)H1H2H3

Fig.2

Comparison of link delays for differentstrategies and conditions"

Fig.3

Comparison of load balancing ratios under different conditions in different methods"

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