Diagnosis tools for telecommunication network traffic management
With the rapid evolution of telecommunication networks, real-time network traffic management is becoming more and more crucial. We propose here a modular system for performing diagnosis at different levels of the network. It is designed as an aid to the operator. We present results of different experiments with a first version of this system which operates at a local level.
Unable to display preview. Download preview PDF.
- E. Didelet, B. Dubuisson, D. Stern, P. Chemouil, AIP approaches to diagnosis in network traffic management, Qualitative Reasoning and Decision Technologies, Carreté/Singh ed., 1993.Google Scholar
- P. Chemouil, J. Filipiak, Supporting Network Management with Real-Time Traffic Models, IEEE journal on selected areas in Communications, vol. 9, n∘2, pp. 151–156, 1991.Google Scholar
- D. Stern, A Statistical Study of Real-Time Telephone Traffic Variations for Network Management, ITC Krakow, 1991.Google Scholar
- Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 2, Alspector/Goodman/Brown ed., 1995.Google Scholar
- SAS User's Guide: Statistics, 1982 edition.Google Scholar
- Y. LeCun, J. Denker, S. Sola, Optimal Brain Damage, in NIPS, vol.2, pp. 598–605, 1990.Google Scholar
- T. Cibas, F. Fogelman Soulie, P. Gallinari, S, Raudys, Variable Selection with Neural Networks, to appear in Neurocomputing.Google Scholar
- R. Battiti, Using Mutual Information for Selecting Features in Supervised Neural Net Learning, IEE Transactions on Neural Networks, vol. 5, n∘4, 1994.Google Scholar