Convergence Time Monitoring Algorithm in Hybrid Software Defined Networks

Abstract

Network consummation especially dependent on traffic monitoring. Therefore, Software Defined Network (SDN) technology is submitted to support the flow control suitable monitoring by providing a global view of the network. Unfortunately, replacing the entire traditional network to SDN is complex, which leads to the need of SDN switches deployment to the current network. Thus, a hybrid network environment has emerged which consists of centralized controller, SDN switch and legacy routers. Hence, the advantage of the integration of traditional network and SDN will take place. The controller can collect SDN data instantly, while it waits for a long time to obtain the legacy network data. On the other hand, the rest of paths cannot be processed directly by the controller. Therefore, legacy path load data is estimated for the past time to support the controller for obtaining the current data. The convergence time of the proposed algorithm takes more convergence time than the full SDN by only 12%. Therefore, the proposed algorithm provides installing the minimum possible number of SDN switches that reduce the infrastructure cost.