IP Based Traffic Recovery: An Optimal Approach using SDN Application for Data Center Network

TL;DR

This paper proposes an SDN-based IP routing method that optimizes data flow by selecting the least congested paths, reducing data loss and improving network responsiveness in data center environments.

Contribution

It introduces an IP-based traffic recovery approach using SDN that dynamically filters requests based on IP origin to select optimal paths with minimal traffic load.

Findings

Reduces data loss by selecting least congested paths.

Maintains high responsiveness by managing user sessions.

Optimizes data flow in data centers using SDN application.

Abstract

With the passage of time and indulgence in Information Technology, network management has proved its significance and has become one of the most important and challenging task in today's era of information flow. Communication networks implement a high level of sophistication in managing and flowing the data through secure channels, to make it almost impossible for data loss. That is why there are many proposed solution that are currently implemented in wide range of network-based applications like social networks and finance applications. The objective of this research paper is to propose a very reliable method of data flow: Choose best path for traffic using SDN application. This is an IP based method in which our SDN application implements provision of best possible path by filtering the requests on base of their IP origin. We'll distinguish among source and will provide the data flow with lowest traffic path, thus resulting in providing us minimum chances of data loss. A request to access our test application will be generated from host and request from each host will be distinguished by our SDN application that will get number of active users for all available servers and will redirect the request to server with minimum traffic load. It will also destroy sessions of inactive users, resulting in maintaining a best responsive channel for data flow.