Optical Communication Technology, Volume. 43, Issue 12, 10(2019)

Self-learning load balancing algorithm for SDON controller based on Bayesian network

JIANG Wenli, LIANG Siyuan, ZHAO Fangli, and ZHAO Feng
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    References(5)

    [4] [4] THYAGATURU A, MERCIAN A, MCGARRY M P, et al. Software Defined Optical Networks (SDONs): A Comprehensive Survey[J]. IEEE Communications Surveys & Tutorials, 2015, 18(4): 2738-2786.

    [5] [5] CAO Xiaoyuan, YOSHIKANE N , POPESCU I, et al. Software-Defined Optical Networks and Network Abstraction With Functional Service Design [Invited][J]. IEEE/OSA Journal of Optical Communications & Networking, 2017, 9(4): 65-75.

    [7] [7] WANG K, WONG W C, CHAI T Y. A MANET routing protocol using Q-learning method integrated with Bayesian network[C]//2010 IEEE International Conference on Communication Systems , November 21-23, 2012,Singapore, Singapore. Piscataway: IEEE, 2012: 270-274.

    [8] [8] KIM S, SON J, TALUKDER A, et al. Congestion prevention mechanism based on Q-leaning for efficient routing in SDN[C]// International Conference on Information NETWORKING, January 13-15, 2016, Kota Kinabalu, Malaysia. Piscataway: IEEE Computer Society, 2016: 124-128.

    [10] [10] MIN Z, HUA Q, ZHAO J. Dynamic switch migration algorithm with Q-learning towards scalable SDN control plane[C]// International Conference on Wireless Communications and Signal Processing (WCSP), October 11-13, 2017, Nanjing, China. Piscataway: IEEE, 2017: 1-4.

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    JIANG Wenli, LIANG Siyuan, ZHAO Fangli, ZHAO Feng. Self-learning load balancing algorithm for SDON controller based on Bayesian network[J]. Optical Communication Technology, 2019, 43(12): 10

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    Paper Information

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    Received: Jul. 5, 2019

    Accepted: --

    Published Online: May. 25, 2020

    The Author Email:

    DOI:10.13921/j.cnki.issn1002-5561.2019.12.003

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