Traffic Shaping and Delay Optimization in Demand Side Management

Data networks resources optimization is a demanding subject because many parameters associated with it have been in dynamic change such as the increasing number of users and the capabilities of network devices. Data networks are known of their peaky and bursty responses and profiles over their usage. During network operation at peak times, where a network interface is fully utilized, devices can no more send or receive data and the users will face traffic congestion and server crashes. Therefore, Internet Service Providers, aim at making the most out of their share of bandwidth, because of the high cost of resources. In this paper, we implemented algorithms that allow flattening the utilization profile of network resources by optimizing network resources. In addition, we tested various scheduling techniques to reduce the effect of traffic delays resulted by the flattening algorithms. All the simulations were conducted in discrete time in the theme of bandwidth Demand Side Management.