A Demand Side Management Traffic Shaping and Scheduling Algorithm

There has been a great trend to optimize traffic in data network. That is because many parameters have been in dynamic change, such as the increasing number of users, the capabilities of the network devices and technical limitations of data networks traffic. In fact, data networks are known for their peaky and bursty responses. During network operations "at a peak time", where a network interface is fully utilized, devices can no longer send or receive data. Demand Side Management is acknowledged to help in reducing demand on resources during peak hours, where peak demands are condensed along with the required capacity and energy. This helps in saving resources and it also reduces the need for network extensions. In this paper we aim to implement an algorithm that allows flattening the utilization profile of network resources. The algorithm is based on a Demand Side Management concept. The algorithm helps in enhancing traffic shaping. In addition, scheduling techniques based on various queuing methods were applied in order to obtain the best performance.