Local Diagnosis for Real-Time Network Traffic Management
نویسندگان
چکیده
Real-time network traffic management is becoming more and more crucial in Telecommunications. In this paper, we propose a modular system based on neural networks, designed as an aid to the operator, for performing diagnosis at different levels of the network. In particular, we focus on the local diagnosis problem e.g. at the secondary transit centres of a telephone network. Statistical and neural tools are studied for the determination of relevant variables and some results are given for the estimation of error bars.
منابع مشابه
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.
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