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Generalized end-to-end performance estimation of ATM networks using combined simulation model and neural network

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2 Author(s)
Seong-Soon Joo ; Compound Semicond. Dept., Electron. & Telecommun. Res. Inst., Taejon ; Sumit Ghosh

Without the practical design method that guarantees every users' specified quality of service, ATM technology can not be the solution for building a public wide-area broadband integrated services network. In this paper, we propose a generalized and light-weight computational method to estimate the end-to-end performance of an ATM network. Degradation of quality of service at the terminating node is analyzed in view of the dynamics of the switching network and a neural network model for identifying the characteristics of outgoing traffic in a single switching node is suggested. The proposed ATM network design procedure to combine the simulation model and neural network model is easily adaptable and reusable

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Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE  (Volume:5 )

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