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Abstract

As ATM network is designed for broad band transmission that is high data rate (25 Mbps to 2.5 Gbps) and supports the transmission of every kind of data, congestion control and delay have been important issues for ATM networks. Data transmission is done in the form of cell (53 bytes) relay. Hence, cell sequence and the error control have to be carried out properly. ATM networks presents difficulties in effectively controlling congestion not found in other types of networks, including frame relay networks. In this paper, we present an efficient methodology for traffic management. The simulation results suggest that the proposed solution is effective for both slow and high data rate transmission.

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References

  1. Abry, P. & Veitch, D, “Wavelet analysis of long range dependent traffic,” IEEE Transactions on Information Theory, Vol. 44, Issue. 1, 1995.

    Google Scholar 

  2. Bjorkman, N., Latour-Henner, A., Hasson, U., Pers, O., & Miah, A., “Practical ATM resource dimensioning based on real-time traffic measurements and analysis,” GLOBECOM, Vol. 1, pp. 399-403.

    Google Scholar 

  3. Monlar, S. & Vidacs, A., “On modeling and shaping self-similar ATM traffic,” TR. High speed Networks, Laboratory, Department of Telecommunications and Telematics, Technical University of Budapest.

    Google Scholar 

  4. G. Stamoulis, M. Anagostu, and A. Georgantas, “Traffic source models for ATM networks,” A survey in Computer Communications, Vol. 17, Issue. 6, pp. 428-438, 1994.

    Article  Google Scholar 

  5. Willinger, W., Taqqu, M.S., Sherman, R. & Wilson, D.V., “Self-similarity through high variability: Statistical analysis of Ethernet LAN traffic at the source level,” IEEE/ACM Transactions on Networking, 2004.

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© 2008 Springer Science+Business Media B.V.

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Rizvi, S.S., Riasat, A., Rashid, M.S., Elleithy, K.M. (2008). An Efficient Scheme for Traffic Management in ATM Networks. In: Sobh, T., Elleithy, K., Mahmood, A., Karim, M.A. (eds) Novel Algorithms and Techniques In Telecommunications, Automation and Industrial Electronics. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8737-0_93

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  • DOI: https://doi.org/10.1007/978-1-4020-8737-0_93

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8736-3

  • Online ISBN: 978-1-4020-8737-0

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