Title :
Intelligent network monitoring
Author :
Hood, Cynthia S. ; Ji, Chuanyi
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fDate :
31 Aug-2 Sep 1995
Abstract :
To improve network management in today´s increasingly complex communication networks, the authors propose an intelligent monitoring hierarchy. The hierarchy is comprised of hidden Markov models (HMMs) and neural networks. As demonstrated on real network data, this hierarchy can detect abnormal behavior at high levels using only readily available low-level fault models. This allows the node to provide the network manager a complete picture of the nodes health
Keywords :
computerised monitoring; hidden Markov models; knowledge based systems; monitoring; neural nets; telecommunication network management; abnormal behavior; communication networks; hidden Markov models; intelligent network monitoring; low-level fault models; neural networks; Communication networks; Computer network management; Computer networks; Computerized monitoring; Fault detection; Hidden Markov models; Intelligent networks; Maintenance; Neural networks; Open systems;
Conference_Titel :
Neural Networks for Signal Processing [1995] V. Proceedings of the 1995 IEEE Workshop
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-2739-X
DOI :
10.1109/NNSP.1995.514927
