Data visualization for cognitive transport networks

Never before in history the amount of data generated has been as inmense as it is today. The new technologies advances allow to store vast volumes of data, especially in the telecommunications field. Through this work, different techniques of data visualization are explored. Also, three visualization algorithms and a distortion graph are proposed in order to process the data and obtain better graphical outputs which help to clearly visualize its intrinsic characteristics. These techniques are applied to real cases in the optical communications networks field, demonstrating their effectiveness when used to detect failures that affect QoT at the optical layer; and to reveal traffic changes in MPLS layer.