Exploring visualization of complex telecommunications systems network data

High-speed broadband telecommunication systems are built with extensive redundancy and complex management systems to ensure robustness. The presence of a fault may be detected by the offending component, its parent component or by other components. This can potentially result in a net effect of a large number of alarm events being raised. There can be a considerable amount of alarm depending on the size and configuration of the network. Data visualization can reduce mountains of data to visually insightful representations, which can aid decision-making and identification of faults. The paper explores data visualizations to provide a context to assist in the identification of such faults.

[1]  Kathryn E. B. Thornton,et al.  Using Virtual Reality Data Mining for Network Management , 2001, ICEIS.

[2]  Wray L. Buntine A Guide to the Literature on Learning Probabilistic Networks from Data , 1996, IEEE Trans. Knowl. Data Eng..

[3]  Allan R. Wilks,et al.  Visualizing Network Data , 1995, IEEE Trans. Vis. Comput. Graph..

[4]  G. Jakobson,et al.  Alarm correlation , 1993, IEEE Network.

[5]  Heikki Mannila,et al.  Knowledge discovery from telecommunication network alarm databases , 1996, Proceedings of the Twelfth International Conference on Data Engineering.

[6]  M. Crossley,et al.  Three-dimensional Internet developments , 1997 .