DSL: Dynamic and Self-Learning Schedule Method of Multiple Controllers in SDN

Abstract

For the reliability of controllers in a software defined network (SDN), a dynamic and self-learning schedule method (DSL) is proposed. This method is original and easy to deploy, and optimizes the combination of multiple controllers. First, we summarize multiple controllers' combinations and schedule problems in an SDN and analyze its reliability. Then, we introduce the architecture of the schedule method and evaluate multi-controller reliability, the DSL method, and its optimized solution. By continually and statistically learning the information about controller reliability, this method treats it as a metric to schedule controllers. Finally, we compare and test the method using a given testing scenario based on an SDN network simulator. The experiment results show that the DSL method can significantly improve the total reliability of an SDN compared with a random schedule, and the proposed optimization algorithm has higher efficiency than an exhaustive search.

IntelliTC : intelligent inter‐DC traffic controller for the Internet of everything service based on fog computing

“…SDN paradigm decouples control from the data plane and provides a logically centralised control plane, i.e. a logical single point in the network with knowledge of the whole [6]. The centralised control offered by SDN, combined with a rich centralised view of the network provided by network analytics, enables the deployment of knowledge-defined networking [7] concept that is one of the hot researches.…”

A Quantification Method for the Heterogeneity of Mimic Control Plane in SDN

“…Regarding the reliability and availability of the SDN controller as the optimization goal, a heuristic genetic algorithm suitable for multiple controllers is proposed in [19]. In order to solve the reliability and scalability problems presented by mimic defense, the DSL scheduling algorithm is put forward in [20]. Compared with the random scheduling algorithm, this algorithm improves the reliability of multiple controllers.…”