Dynamic Load Balancing in Software-Defined Networks Using Machine Learning
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-0790-8_28
Reference12 articles.
1. http://mininet.org/
2. Chen-xiao C, Ya-bin X (2016) Research on load balance method in SDN. Int J Grid Distrib Comput 9(1):25–36. http://dx.doi.org/10.14257/ijgdc.2016.9.1.03
3. Lan Y-L, Wang K, Hsu Y-H (2016) Dynamic load-balanced path optimization in SDN-based data center networks. In: 2016 10th international symposium on communication systems, networks and digital signal processing (CSNDSP). https://doi.org/10.1109/csndsp.2016.7573945
4. Li J, Chang X, Ren Y, Zhang Z, Wang G (2014) An effective path load balancing mechanism based on SDN. In: 2014 IEEE 13th international conference on trust, security and privacy in computing and communications. https://doi.org/10.1109/trustcom.2014.67
5. Zakia U, Ben Yedder H (2017) Dynamic load balancing in SDN-based data center networks. In: 2017 8th IEEE annual information technology, electronics and mobile communication conference (IEMCON). https://doi.org/10.1109/iemcon.2017.8117206
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