Holt-Winters statistical forecasting and ACO metaheuristic for traffic characterization

Due to modernization, expansion of computer networks has become an inevitable process. However, this growth is also accompanied by increased complexity, which makes it necessary to use resources that assist the management of these networks. In this paper, we propose a traffic characterization using two-dimensional flow analysis for modeling the behavior traffic pattern, here called Digital Signature of Network Segment Using Flow Analysis (DSNSF). To accomplish this task we have used the improved Holt-Winters forecasting and Ant Colony Optimization metaheuristic methods. The DSNSF obtained by each model are compared to a real traffic of packets and bits and then subjected to specific evaluations in order to measure its accuracy.