V.P. Singh

Work place: Department of computer science and engineering, Thapar University, Patiala, Punjab

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Research Interests: Autonomic Computing, Computer Architecture and Organization, Computer Networks

Biography

Dr. V. P. Singh is PhD and ME in Computer Science from Thapar University, Patiala, India. He is presently serving as assistant professor in the Computer Science and Engineering Department of Thapar University, India. His research interests include soft computing, Computer networks, Computer forensics and Cyber Law. He has many research publications in reputed Journals and Conferences.

Author Articles
Design of Fuzzy-Based Traffic Provisioning in Software Defined Network

By Anju Bhandari V.P. Singh

DOI: https://doi.org/10.5815/ijitcs.2016.09.07, Pub. Date: 8 Sep. 2016

This Software defined networks helps to realize extraordinary services that can be easily embedded in network operations of switch. It provokes the decomposition of the control and data planes. The control plane is more extensible, as it is unproblematic to change or introduce any new functionality into the network. It is studied that any new integration can be easily added up with a very low line of code (LOC). The work proposes a fuzzy based approach for traffic provisioning in SDN. Fuzzy Logic Control System (FLCS) is a controller comprising of two fuzzy systems- Label Switched Path setup System (LsS) and Traffic Splitting System (TSS). The computation of dynamic status of Load and Delay is utilized by LsS to arrange the paths in preference order. The attained Link Capacity and Utilization Rate are employing by TSS for maintaining congestion free path. Created three different topologies and performed ping reachability test and executed iperf testing tool for performance analysis on Mininet framework.The impact of this is to facilitate better decision making for splitting the traffic for different capable paths. Simulation setup is deployed using OpenFlow Switches and Controllers to study their performance. The packet delivery ratio remained above 98%, showing rare chances of congestion and delay was below than 2.6 seconds with TTL in range of 60-80 milliseconds.

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