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A Survey on Analysis of Network Traffic in Data Centers using Controllers in SDN
Srishti1, Shubhankar Singh2, V. Deeban Chakravarthy3,  Ruturaj Kadiar d4

1Srishti , B. Tech , Department of CSE , SRM IST, Kattan kulathur Campus.
2Shubhankar Singh , B. Tech , Department of CSE , SRM IST
3V. Deeban Chakravarthy , Assistant Professor (Sr.G) Department of CSE , Kattan kulathur Campus, SRM IST
4Ruturaj Kadiar, Sr. Research Associate , SRM IST, Kattan kulathur Campus.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1301-1304 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2920037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Server farms are quickly turning into the foundation of the fundamental framework for sites with high traffic.These server farms as a rule depend on extraordinary measure of calculation capacity to get past doing the doled out errands, this outcomes in connection blockages and lopsided characteristics in rush hour gridlock loads. In server farms, SDN-based movement administration methods control how information moves through the whole length of the framework, this is done as such that the operational expenses are lessened and issues of connection clog and imbalanced activity stack is settled. Dynamic examination of the system is being finished by utilizing a focal terminal for the whole length of the server farm which will control how the heap movements to various server hubs associated with it, the terminal will run an always learning calculation which will adjust to the measure of activity that gets past the server farm. Not at all like conventional load balancers which simply change to a more execution based or vitality effective calculation, anyway the need might rely upon the movement, the calculation which is being utilized in our terminal won’t just find out about the conduct of the server farm yet will adjust to it as well, this will help in the server farm being better performing while being vitality productive.
Keywords: Data centered network , Software defined network , Dynamic load balancing , Traffic maintaining.

Scope of the Article: Image analysis and Processing