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The software-defined networking (SDN) represents the future backbone of the Internet. In general, to understand the performance and the limitation of SDN is a prerequisite for deploying these networks and making the most of their resources. For achieving that goal, this paper discusses the difference between traditional networks and SDN over wide a...
Citations
... � Performing mathematical analysis to the proposed model by using geometric matrix. In the end, a comparison is made between the model built in this paper, which assumes that the arrival process is subject to a Poisson distribution, and a previous study [15], that a model was built with the theory of queues, in which we assumed that the arrival process is subject to a phase type distribution. It is known that the service process in both scenarios is subject to exponential distribution. ...
... In our previous research work [15], similar experiments were carried out but phase type distribution can be used for the arrival rate of packets from the vEdge router to the SD-WAN controller system; while in the present work, it is assumed that the arrival rate is Poisson distribution. The size of the message used in both scenarios must be constant and the service time at the server ought to be exponential IBRAHIM HUSSEIN ET AL. ...
... In Ref. [15] shows the utilisation for the phase type distribution arrival rate. As can be seen, the utilisation for Ref. [15] is 5.7191 � 10 −4 = 0.057%, while average utilisation in this paper for Poisson distribution arrival rate is 0.03 = 3%. ...
Software‐defined wide area network (SD‐WAN) is part of wider technologies of software‐defined networking (SDN). SDN is one of the pivotal network management approaches that abstracts the underlying network infrastructure away from its applications. SDN allows for the centralisation of network intelligence. That allows higher network automation, the simplification of operations, the provisioning, the monitoring, and the troubleshooting. These days, data volume that enterprises and users make is growing rapidly and continuously. As a result, wide area networks are growing increasingly and they are becoming very complicated to manage and monitor using traditional tools. So, many enterprises are interested in developing SD‐WAN and benefiting from its advantages. To achieve this goal, a proposed model for the SD‐WAN network will be presented based on the queueing theory; then, the proposed model will be analysed using the Quasi‐birth–death approach to evaluate traffic behaviour of a proposed queueing model for Poisson distribution in the SD‐WAN. Moreover, it compares Poisson to phase type distribution via calculating some parameters that influence traffic behaviour of those distributions in the SD‐WAN. The analysis results indicate that the proposed queueing model displays a more accurate SD‐WAN controller performance than the existing ones.
