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Volume 42 Issue 10
Oct.  2020
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Shuai ZENG, Zhihua QIAN, Tianfeng ZHAO, Yan REN, Yujie WANG. Software Defined Optical Network Controller Deployment Algorithm Constrained by Survivability Conditions[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2412-2419. doi: 10.11999/JEIT190395
Citation: Shuai ZENG, Zhihua QIAN, Tianfeng ZHAO, Yan REN, Yujie WANG. Software Defined Optical Network Controller Deployment Algorithm Constrained by Survivability Conditions[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2412-2419. doi: 10.11999/JEIT190395

Software Defined Optical Network Controller Deployment Algorithm Constrained by Survivability Conditions

doi: 10.11999/JEIT190395
Funds:  The Natural Science Foundation of Chongqing (cstc2018jcyjA0743), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201800640), The National Natural Science Foundation of China (61701058)
  • Received Date: 2019-06-03
  • Rev Recd Date: 2019-12-28
  • Available Online: 2020-07-18
  • Publish Date: 2020-10-13
  • Software-Defined Optical Network (SDON) is the latest generation network architecture in intelligent optical networks. Its control plane carries many core functions. The survivability of control plane, control redundancy and control delay are crucial to the overall performance of the network. In this paper, a Survivability-Constrained software-Defined (SCD) optical network controller deployment algorithm is proposed. Under the premise of ensuring users' network survivability requirements, mathematical principles such as shortest path and minimum dominance set are used to reduce control delay, and reduce the number of controller deployments to reduce control redundancy. A joint judgment condition is used to select the control center deployment node to coordinate the work between the controllers. Experiments show that: Firstly, the proposed algorithm can guarantee the user's survivability requirements for the network 100%. Secondly, the proposed algorithm reduces the network failure alarm probability by at least 15% compared with the C-MPC algorithm, and improves the network survivability. At the same time, about 40% of the number of controller deployments is reduced relative to the deployment algorithm with latency constraints. Especially in the scenario where the survivability requirements are high, the proposed algorithm shows good adaptability. In addition, the deployment algorithm of the control center can dynamically meet the different needs of users for network survivability in a complex large-scale network.
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