DYNAMIC LOAD BALANCING OF NETWORK RESOURCES AND DATA TRANSMISSION IN SOFTWARE-DEFINED NETWORKS

Traditional networking architectures have a number of important flaws that must be solved in order to satisfy today’s IT demands. Software Defined Networking (SDN) is emerging as a new networking solution to address these limitations. The implementation of a dynamic load balancing algorithm to efficiently distribute fat-tree network flows through multiple alternative paths between a single pair of hosts is described in this paper. The network was evaluated both before and after the load balancing algorithm was applied. The testing focused on some QoS parameters such as throughput, delay, latency, jitter, and packet loss between two servers in the fat-tree network. The performance of the proposed algorithm was evaluated through an existing result of [1], to evaluate the extent to which the maximum network resources utilization was achieved. The result obtained shows that the proposed solution was more promising in terms of minimizing end-to-end delay, latency, jitter, packet loss and maximizing throughput in which we observed a reduction in latency by 33% and packet loss by 32% while throughput was maximized by 41%. Keywords: Software-Defined Networking, Fault-tolerance, Control Plane, Controller failure. Title: DYNAMIC LOAD BALANCING OF NETWORK RESOURCES AND DATA TRANSMISSION IN SOFTWARE-DEFINED NETWORKS Author: Ahmad Idris Hammaadama, Babangida Albaba Abubakar International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 10, Issue 4, October 2022 - December 2022 Page No: 24-32 Research Publish Journals Website: www.researchpublish.com Published Date: 28-October-2022 DOI: https://doi.org/10.5281/zenodo.7261016 Paper Download Link (Source) https://www.researchpublish.com/papers/dynamic-load-balancing-of-network-resources-and-data-transmission-in-software-defined-networks
International Journal of Computer Science and Information Technology Research, ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals, Website: www.researchpublish.com