Load Balancing in a Campus Network Using Software Defined Networking

Today, commercial load balancers are often in use, including in the production network at Arizona State University (ASU). One of the main issues such load balancers face is that they use a static scheme for load distribution. However, at particular times of the academic year, such as during course registration, the network exhibits significant variations in both temporal and spatial traffic characteristics. At these times, students experience much greater latency and become frustrated with the network service. To address this problem, our aim is to develop an SDN-based approach to load balancing to better cope with the traffic variation.