An approach towards backbone network congestion minimization in software defined network

With Emergence of broadband access networks and powerful personal computer systems the demand for network-delivered full-motion streaming video is growing. People upload their home made videos. Different companies have started to offer software as service. Data traffic is increasing each day at an unprecedented rate creating congestion on the backbone part of the network. Backbone network congestion minimization approach is proposed to minimize the backbone network traffic by locally distributing the video files. Mininet emulator is used for simulation purpose. Custom network topology and Ryuretic framework for controller are used. Ryu controller pushes the rule when first time packet arrives to establish flow table on the switches. Server maintains the logs of video file downloaded by host. Based on its logs on database, server redirects the request towards host, P2P session is established and video file is uploaded. Uploaded data traffic flows through the access network part result on decreasing the network latency. File download rate is increased by 4 times and congestion is minimized by 66% in proposed congestion reduction approach than traditional client server approach in Software Defined Network based used topology. Validation of video file download from the server and from P2P host is verified by unique identifier MD5 checksum value.