Abstract: Congestion Control Techniques in Programmable Computer Networks
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 119

M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 5 Issue 11, November 2016

Congestion Control Techniques in Programmable Computer Networks

Ankita, S. Vamshi Krishna

Software Defined Networking (SDN) is becoming an apparent network architecture where network control is separated from data plane which is directly programmable. It promises to remove the complexity of the network management and enable upheaval through network programmability. The POX is one of the open source Software Defined Network controller and a platform for the expeditious development and designing of network control software. This paper defines the difference between various parameter when calculated for traditional network and SDN network and proposes a set of rules which are defined in the POX controller as the controller component and based on which the open flow switch will take the decisions during transmission of data packets in the Open flow network. This method proposed to increase the performance of the network by avoiding congestion using spanning tree protocol which reroutes the packet in case of link failure/congestion. This paper also described the process of defining different set of rules in each switch in the network. The experimental results shows average round trip time (RTT) or average delay for network with and without congestion/link failure detection for POX controller. Along with the comparison between traditional and SDN network based on various parameters.

Keywords: Software Defined Networking, POX Controller, Openflow, Mininet, Traditional Network, Python

Edition: Volume 5 Issue 11, November 2016

Pages: 1693 - 1698

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How to Cite this Article?

Ankita, S. Vamshi Krishna, "Congestion Control Techniques in Programmable Computer Networks", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163248, Volume 5 Issue 11, November 2016, 1693 - 1698

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