Abstract
For the diversity of applications and traffic, the requirement of Quality of Service (QoS) is various. In order to improve utilization of resource, performance of the network and experience of users, the QoS aware routing approaches have been researched. As the Software Defined Networking (SDN) emerging and the machine learning developing, this paper proposes a mechanism based on flow classification and routing strategy selection. This architecture is running as modules on SDN controller. In Mininet platform, we conducted experiments on POX controller to verify effective of our design and test the performance. The measuring results show that throughput and delay of the network is distinct while using different routing theory.
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Li, X., Qin, Y., Fu, H., Zhang, Z., Lin, X. (2018). Intelligent Perceptive QoS Based Centralized Admission Control for Route Computing. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_19
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DOI: https://doi.org/10.1007/978-3-319-74521-3_19
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