Optimized Routing in Software Defined Networks – A Reinforcement Learning Approach
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Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-19063-7_22
Reference13 articles.
1. Kreutz, D., Ramos, F.M., Verissimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2015). https://doi.org/10.1109/JPROC.2014.2371999
2. Open Networking Foundation (ONF). https://www.opennetworking.org/ . Accessed 16 Nov 2018
3. Huang, M., Liang, W., Xu, Z., Xu, W., Guo, S., Xu, Y.: Online unicasting and multicasting in software-defined networks. Comput. Netw. 132, 26–39 (2018)
4. Shafiee, M., Ghaderi, J.: A simple congestion-aware algorithm for load balancing in datacenter networks. IEEE/ACM Trans. Netw. 25(6), 3670–3682 (2017). https://doi.org/10.1109/TNET.2017.2751251
5. Agarwal, S., Kodialam, M., Lakshman, T.V.: Traffic engineering in software defined networks. In: 2013 IEEE Proceedings of International Conference on Computer Communications, IEEE INFOCOM, Turin, Italy, pp. 2211–2219. IEEE, April 2013
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