Fog and Cloud Load Balancing Using Regression Based Reccurent Deep Learning Algorithm

Fog computing has been studied by a variety of academics, and they have identified concerns which need to be solved. It is the primary goal of this project to build and execute an energy conscious load balancer that will reduce energy usage and help in the distribution of loads. In order to test the method that was created, establishing a fog computing platform By assigning a job and assessing the outcomes, the energy-aware load balancing method was found to be effective when it was tested.