Floodlight

Abstract: As the traditional network architecture can not meet the requirements of network users for high-quality network services, software defined network (SDN) has been proposed as a new network architecture. SDN divides the data plane and control plane in the network equipment, so that the controller can schedule the data in the network flexibly through openflow protocol. Floodlight and Ryu are two typical SDN controllers proposed for different purposes. In this paper, we first introduce Floodlight and Ryu, and then introduce the tools used in the paper: mininet and qperf. Then, we simulate the two controllers of Floodlight and Ryu, and compare their bandwidth and delay performance under different network topologies. The experimental results show that in all kinds of topology, the Floodlight controller has higher bandwidth and lower latency than Ryu controller, so the Floodlight controller has better performance.

Abstract: Software Defined Network is the booming area of research in the domain of networking With growing number of devices connecting to the global village of internet, it becomes inevitable to adapt to any new technology before testing its scalability in presence of dynamic circumstances While a lot of research is going on to provide solution to overcome the limitations of the traditional network, it gives a call to research community to test the applicability and caliber to withstand the fault tolerance of the provided solution in the form of SDN Controllers Out of existing multiple controllers providing the SDN functionalities to the network, one of the stellar controllers is Floodlight Controller This paper is a contribution towards performance evaluation of scalability of the Floodlight Controller by implementing multiple scenarios experimented on the simulation tool of Mininet, Floodlight Controller and iPerf Floodlight Controller is tested in the simulation environment by observing throughput and latency parameters of the controller and checked its performance in dynamic networking conditions over Mesh topology by exponentially increasing the number of nodes

Abstract: In this article the authors give a general idea of software-defined networking (SDN). The paper contains a description of Floodlight SDN controller and an issue of network security management. The authors present a set of techniques that provide more security in the controller. They are implemented as a network application and describe the basic mechanism.

Abstract: Software Defined Network is the thriving area of research in the realm of networking With growing number of devices connecting to the global village of internet, it becomes inevitable to adapt to any new technology before testing its scalability in presence of dynamic circumstances While a lot of research is going on to provide solution to overcome the limitations of the traditional network, it gives a call to research community to test the competence and applicability to hold up the fault tolerance of the solution offered in the form of SDN Controllers Out of the accessible multiple controllers with enabled the SDN functionalities to the network infrastructure, one of the best choice in controllers is Floodlight Controller This research article is a contribution towards performance evaluation of scalability of the Floodlight Controller by implementing dual scenarios implemented, experimented and analyzed on the emulation tool of OFNet Floodlight Controller is tested in the emulation environment by observing eight different parameters of the controller and checked its performance in scalable networking conditions over linear topology by gradually increasing the number of nodes