How to use MEC and ML to Improve Resources Allocation in SDN Networks ?

Abstract

One of the important objectives of service providers in the 5G network is to improve the use of network resources to provide multiple types of services with a good quality of service. In this context, the MEC (Mobile Edge Computing) presents a new opportunity that allows hosting applications close to end users with a reduction of latency and performance improvement. In this article we will propose a new architecture that improves the fast and efficient delivery of new applications, based on the concept of MEC and the important role of machine learning algorithms. The proposed architecture will help network operators to better exploit network resources and improve their services. Indeed, it ensures the collection of radio information, the prediction of necessary needs and the dynamic and efficient sharing of network resources.