• Buhyavarapu Manasa
• A.Ramesh Babu

The traditional networks are facing difficulties in dealing with services provided through cloud computing, big data and the Internet of Things (IoT), as users increasingly rely on their services. Software Defined Networking (SDN) has sparked enthusiasm in the system for integrating technology and features in line with consumer requirements for both academia and business, and its adoption has begun using real frameworks. Due to the increase in demand and the scarcity of resources, the problem of load balancing must be properly addressed in order to manage visitors and internal resources and improve the overall performance of the network. One of the most important issues is the placement of the SDN controller to stabilize the weight for better Quality of Service (QoS). Although there have been a few survey articles written about load balancing, there is no detailed and systematic evaluation done on load balancing in SDN. Therefore, this paper expands and clarifies the dialogue with a classification of the current emerging load balancing technologies in SDN in a systematic way by classifying the technologies as traditional and purely AI-based strategies for better provider optimization. Several fully SDN-based load balancing strategies are discussed to improve the overall performance of SDNs. Therefore, this paper discussed load balancing regulators in SDNs and discussed their advantages and disadvantages.

Load Balancing, software defined network, Quality of service, internet of Things.

"A Research on load balancing on software defined networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.c213-c220, October-2021, Available :http://www.jetir.org/papers/JETIR2110226.pdf

"A Research on load balancing on software defined networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppc213-c220, October-2021, Available at : http://www.jetir.org/papers/JETIR2110226.pdf