Abstract
With the continuous development of optical communication technology, the structure of optical network is becoming more and more complex, and complex network theory can analyze the nature of the actual system. From the angle of self-organizing criticality, the “sand pile” model of intelligent optical network is constructed, the model parameters are designed, and the self-organized critical model of intelligent optical network is established. Finally, the computer algorithm is designed according to the model, and the critical value of the whole network load is solved. The research shows that there is a quantitative relationship between the critical value of network load and the number of the betweenness, which has a certain guiding significance for improving the processing ability of key nodes and optimizing the network security.
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Yin, Z.Z.: Electrical investigations of self-organized behavior of steel sphere packing. Harbin University of Science and Technology, Harbin (2007)
Rao, B.: Self-organized criticality in complex systems. Graduate School of National University of Defense Technology, Changsha (2005)
Tyler, H.S., Fabrizio, L.C., John, L.: On submodularity and controllability in complex dynamical networks. IEEE Trans. Control Netw. Syst. 3(1), 91–101 (2006)
Djeundam, S.R.D., Yamapi, R.E., Filatrella, G., Kofané, T.C.: Dynamics of disordered network of coupled hind-marsh-rose neuronal models. Int. J. Bifurcat. Chaos 26(3), 1–18 (2016)
Zhu, E.L., Zhang, Y.F., Liu, Q.: Empirical study of complex network characteristic of intelligent optical network. Opt. Commun. Technol. 42(1), 9–12 (2018)
Zhang, J., Jin, Z., Sun, G.Q., Sun, X.D., Wang, Y.M., Huang, B.: Determination of original infection source of H7N9 avian influenza by dynamical model. Sci. Rep. 4, 1–16 (2014)
Acknowledgement
This work was supported by National Natural Science Foundation of China (61605247) and Research Foundation of National University of Defense Technology (ZK17-03-26).
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Wang, J., Li, W., Li, J., Chen, S., Ran, J. (2020). Modeling and Simulation of Self-organized Criticality of Intelligent Optical Network Based on Sand Pile Model. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_19
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DOI: https://doi.org/10.1007/978-3-030-14680-1_19
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Online ISBN: 978-3-030-14680-1
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