Network Quality of Service with Deep Packet Inspection and link allocation using Machine Learning

Abstract

Internet traffic is growing exponentially. As a result it is really difficult to maintain desired quality of service and quality of experience. Quality of Service (QoS) and Quality of Experience (QoE) may not be achieved with current network resources. There are 2 possibilities for tackling this problem. First is to Upgrade network infrastructure and Second one is to Optimize the network. The first option may involve purchasing more bandwidth and high capacity links. So optimizing the network in-terms of QoS and QoE regarding end user can be the best solution to the problem. Our solution is “QoS with deep packet inspection and machine learning. In this method we categorize the incoming traffic using deep packet packet inspection to get maximum accuracy. After categorizing the incoming traffic we will design a machine learning algorithm which provide the link capacity based on class of traffic.