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.
