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  Published Paper Details:

  Paper Title

NETWORK TRAFFIC PARAMETER ANALYSIS AND HISTORICAL DATASET RELATIONSHIP

  Authors

  Veeru,  Rishi Raj Dwivedi,  Somveer Singh,  Vikash Kundu

  Keywords

SDN, OpenFlow, Mininet, Token Bucket Algorithm

  Abstract


SDN (Software-Defined Networks) is a novel concept proposed by a research institute to achieve a specific goal in Next-Generation Networks (NGN). For operational purposes, SDN removes control aircraft and a plane of data from the main network equipment. The control aircraft consists of a central control unit known as the SDN controller, which operates as a Network Operating System (NOS). The data plane is responsible for transferring only data packets that are controlled by the central controller and are available within network devices. OpenFlow is a description of the first generation of SDN defined by the Open Networking Foundation. It is one of the most popular uses of SDN (ONF). In this paper, network building based on OpenFlow is compared to conventional network construction. The design and operation of the OpenFlow-based network is also implemented. Performance analysis was performed by analysing network performance based on bandwidth usage, packet transfer rate, back-to-back distribution delays, and the high acquisition of Mininet, a model network model, used to build all OpenFlow-enabled issues.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105075

  Paper ID - 206754

  Page Number(s) - a662-a671

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Veeru,  Rishi Raj Dwivedi,  Somveer Singh,  Vikash Kundu,   "NETWORK TRAFFIC PARAMETER ANALYSIS AND HISTORICAL DATASET RELATIONSHIP", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.a662-a671, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105075.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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