Functional Data Analysis: A step forward in Network Management

Network Management tasks are currently characterized by their diversity both in terms of the situations that must be faced and the data used to reach conclusions. This complex and changing context imposes diverse needs and restrictions that must be covered by management tools in order for them to be useful. In order to face current challenges, we propose the application of Functional Data Analysis (FDA) techniques in the different functional areas of Network Management. FDA can be applied to network data compression, definition of baselines, anomaly detection, or traffic classification as well as forecasting for network dimensioning.