Improving Fog Computing Scalability in Software Defined Network using Critical Requests Prediction in IoT

With the advent of technology, the Internet of Things (IoT) network has been confronted with large volumes of data and production requests like critical requests. Cloud usage is not cost-effective due to the distance from the Cloud data centre. One of the best solutions to solve these problems. Use the Fog Computing auxiliary layer. Fog nodes also face processing limitations due to the large volume of requests. Inability to cooperate between Fog nodes in this layer has resulted in Fog Computing Scalability being compromised. In this research, using the method of predicting the number of critical requests and providing the required resources in Fog nodes as well as making Fog Nodes interoperable with each other by Software-Defined Network (SDN) tried to use the resources in the Fog layer to serve as much as possible to unforeseen requests. In this proposal, it has been able to reduce the service delay, utilization rate of fog layer resources and bandwidth consumption in comparison with the other two methods by 2, 6 and 13% Improve.