Abstract
Multiple low earth orbit (LEO) satellites form a constellation that can construct the network to achieve full coverage of the ground. However, the topology of the LEO satellite network is highly dynamic, and end-to-end transmission is a huge challenge for the LEO satellite network. As an important technology to solve the network dynamic management, the software defined network (SDN) has been introduced into the LEO satellite network. To manage the LEO network efficiently, the controllers of the SDN-based LEO satellite network can be deployed on some satellites and directly controlled by the ground base stations (GBSs). Since GBSs are static, so the controller should be migrated from one LEO satellite to another LEO satellite. Controller migration as an elastic control method plays an important role in the SDN-based LEO satellite network. Aiming at the problems of low migration efficiency and high migration cost in existing migration schemes, we propose a dynamic migration strategy of the controller. First, we analyze the load composition of the controller, and construct a load function, set the trigger factor to determine the load imbalance. Then, we determine the migration target and establish a migration efficiency model, and consider the load balancing rate and migration cost to determine the migration switch and the migration controller. Finally, by setting migration triplets to complete the migration mapping, to achieve efficient controller migration in the LEO satellite network. Simulation results show that this strategy can effectively reduce the controller response time, reduce the migration cost, and improve the controller throughput.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Long, Q., Chen, Y., Zhang, H., et al.: Software defined 5G and 6G networks: a survey. Mob. Netw. Appl. 2019, 1–21 (2019). https://doi.org/10.1007/s11036-019-01397-2
Papa, A., Cola, T., Vizarreta, P., et al.: Design and evaluation of reconfigurable SDN LEO constellations. IEEE Trans. Netw. Serv. Manage. 2020, 1–14 (2020)
Nie, Y., Fang, Z., Gao, S.: Survivability analysis of LEO satellite networks based on network utility. IEEE Access 2019(7), 123182–123194 (2019)
Guo, Q., Gu, R., Dong, T., et al.: SDN-based end-to-end fragment-aware routing for elastic data flows in LEO satellite-terrestrial network. IEEE Access 2019(7), 396–410 (2019)
Ravishankar, C., Gopal, R., Benammar, N., et al.: Next-generation global satellite system with mega-constellations. Int. J. Satell. Commun. Network. 4, 1–23 (2020)
Xiao, Y., Zhang, T., Shi, D., et al.: A LEO satellite network capacity model for topology and routing algorithm analysis. In: Proceedings of the International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1431–1436 (2018)
Chen, Q., Chen, X., Yang, L., et al.: A distributed congestion avoidance routing algorithm in mega-constellation network with multi-gateway. Acta Astronaut. 162, 376–387 (2019)
Ling, T., Liu, L., Zheng, C., et al.: An optimized forward scheduling algorithm in a software-defined satellite network. In: Proceedings of the International Conference on Software Engineering Research, Management and Applications (SERA), pp. 27–32 (2019)
Zhu, Y., Qian, L., Ding, L., et al:. Software defined routing algorithm in LEO satellite networks. In: Proceedings of the International Conference on Electrical Engineering and Informatics (ICELTICS), pp. 257–262 (2017)
Papa, A., Cola, T., Vizarreta, P., et al.: Dynamic SDN controller placement in a LEO constellation satellite network. In: Proceedings of the Global Communications Conference (Globecom), pp. 206–212 (2018)
Jiang, D., Xu, Z., Liu, J., Zhao, W.: An optimization-based robust routing algorithm to energy-efficient networks for cloud computing. Telecommun. Syst. 63(1), 89–98 (2015). https://doi.org/10.1007/s11235-015-9975-y
Jiang, D., Nie, L., Lv, Z., et al.: Spatio-temporal Kronecker compressive sensing for traffic matrix recovery. IEEE Access (2016)
Jiang, D., Wang, F., Lv, Z., et al.: QoE-aware efficient content distribution scheme for satellite-terrestrial networks. IEEE Trans. Mob. Comput. (2021)
Jiang, D., Zhao, Z., Xu, Z., et al.: How to reconstruct end-to-end traffic based on time-frequency analysis and artificial neural network. AEU-Int. J. Electron. Commun. 68(10), 915–925 (2014)
Wang, Y., Jiang, D., Huo, L., et al.: A new traffic prediction algorithm to software defined networking. Mob. Netw. Appl. 26(2), 716–725 (2021)
Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (No. 61571104), the Sichuan Science and Technology Program (No. 2018JY0539), the Key projects of the Sichuan Provincial Education Department (No. 18ZA0219), the Fundamental Research Funds for the Central Universities (No. ZYGX2017KYQD170), the CERNET Innovation Project (No. NGII20190111), the Fund Projects (Nos. 2020-JCJQ-ZD-016–11, 61403110405, 315075802, JZX6Y202001010161), and the Innovation Funding (No. 2018510007000134). The authors wish to thank the reviewers for their helpful comments.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Huo, L., Jiang, D., Yang, W., Chen, J. (2022). A Dynamic Migration Strategy of SDN Controllers in LEO Networks. In: Jiang, D., Song, H. (eds) Simulation Tools and Techniques. SIMUtools 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-030-97124-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-97124-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-97123-6
Online ISBN: 978-3-030-97124-3
eBook Packages: Computer ScienceComputer Science (R0)