Unlike traditional networks, software-defined networking (SDN) are characterized by a physical separation of the control and the transfer plan. Thus, a centralized controller communicates the functions of control plan to each device via the OpenFlow Protocol whenever he is asked or that it deems appropriate. This impact strongly the latency time which is important for new services or multimedia applications. In order to optimize the time of transmission in network data with SDN, the proactive approach based on the algorithm back - pressure is usually oered. However, we note that the proactive approach while reducing strongly this time, does not account settings such as the failure of a node part of the way to transfer or the breaking of a bond that greatly increases the latency time. In this document, we will propose a joint routing approach based on proactive and reactive routing. This in order to optimize the routing functions by simply placing the traffic where capacity allows, in order to avoid congestion of highly stressed parts of the network taking into account the failures and significantly reduce the time latency. Simulation results show that our proposal allows a considerable reduction of latency even when there are failures in the network.
SDNs networks opt for a centralized approach, in which the controller is the element that defines the overall network management policy and communicates it to openflow switches via the OpenFlow protocol whenever it is requested by them or he considers it opportune. This has a strong impact on latency and packet loss, parameters that have very important for multimedia applications. To optimize the transmission delay in data networks with SDN, two approaches are generally proposed; a responsive approach and a proactive approach. However, we notice that the reactive approach, even if it allows to better evaluate the quality of the optimal paths, increases the latency time. While the proactive approach strongly reduces this time, but does not consider parameters such as the failure of a node on the transfer path. We will propose in this document a mixed approach based on the back-pressure algorithm which is proven as an optimal routing algorithm and rate planning. The aim is to optimize the routing functions by simply placing the traffic where the capacity allows, to avoid congestions of some parts of the network strongly solicited.
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