Abstract
In the modern, technologically advanced era, the use of devices connected to the Internet has increased exponentially. This has led to a significant increase in Internet activity. Network scalability, low levels of service, and the need to manage a large number of clients on a single server (which can lead to denial of service (DOS) attacks) are just a few of the consequences of increased traffic if you are a load balancer, . A method proposed in the literature. Although load balancers are popular, studies have shown that they have a few drawbacks, such as not being programmable and exclusive to a single vendor to overcome these issues and the subsequent increase in Internet traffic saw the emergence of Software Defined Networking (SDN) as a paradigm shift. Software defined networking (SDN) enables programmable load balancers and gives customers the freedom to develop and implement their own load-balancing algorithms this exam covers the origins of software-defined networking (SDN) and Open Flow, with impact on weight and density so included. In this article, we will go through various SDN load balancing techniques. This review builds on existing research challenges, their answers, and possible future research directions. Load balancing in intelligent software-defined (SDN) algorithms is typically performed using mathematical tools. Finally, we detail the metrics used to evaluate the performance of the algorithms.