The rise of cloud computing, facilitated by virtualization technologies, offers substantial opportunities for cost-effective hosting of virtual resources without the need for physical infrastructure ownership. Within cloud data centers, a variety of heterogeneous commodity servers typically accommodate numerous IoT devices with diverse specifications and fluctuating resource demands. However, this diversity may lead to imbalanced resource utilization across servers, potentially resulting in performance degradation and violations of service level agreements (SLAs). As a remedy, edge computing has emerged to mitigate these challenges by redistributing the workload, thereby enhancing overall system performance. This paper has brief the edge computing requirement with its working architecture. Further paper has brief different techniques of load balancing used in balancing. Various models proposed by researcher for improving the performance of the edge network was also summarized in the paper. Finally, various evaluation parameters were also listed in the paper for the comparison of load balancing models.