Title :
Generalized end-to-end performance estimation of ATM networks using combined simulation model and neural network
Author :
Seong-Soon Joo ; Ghosh, Sumit
Author_Institution :
Compound Semicond. Dept., Electron. & Telecommun. Res. Inst., Taejon
Abstract :
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
Keywords :
asynchronous transfer mode; neural nets; quality of service; telecommunication computing; ATM network design procedure; ATM networks; computational method; design method; generalized end-to-end performance estimation; neural network; outgoing traffic; public wide-area broadband integrated services network; quality of service; simulation model; switching network; switching node; terminating node; Asynchronous transfer mode; Buildings; Computer networks; Degradation; Design methodology; Intserv networks; Neural networks; Quality of service; Telecommunication traffic; Traffic control;
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
DOI :
10.1109/GLOCOM.1998.776473
