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Optical network unit-based traffic prediction for Ethernet passive optical networks

Optical network unit-based traffic prediction for Ethernet passive optical networks

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The authors propose a novel traffic prediction method for the minimisation of packet delay in Ethernet passive optical networks. The method relies on traffic monitoring at the optical network units (ONUs) and utilises readily available traffic information to predict the accumulated burst size of each respective ONU in the following cycle. They demonstrate that a significant delay enhancement can be accomplished by reporting the predicted, rather than the current, burst size to the optical line terminal (OLT). The author's simulation results show that a delay improvement of over 25% can be expected by the proposed method without modifying the well-established interleaved polling scheme with adaptive cycle time dynamic bandwidth assignment scheme at the OLT.

References

    1. 1)
      • 1. Mukherjee, B.: ‘Optical WDM networks’, University of California, Davis, (Springer, 2006).
    2. 2)
      • 2. Jue, J., Vokkarance, V.: ‘Optical burst switched networks series’ (Springer, 2005).
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • 7. Kramer, G., Mukherjee, B., Maislos, A.: ‘Ethernet passive optical networks’, in Dixit, S. (Ed.): ‘Multiprotocol over DWDM: building the next generation optical internet’ (John Wiley & Sons, 2003), pp. 229260.
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
      • 13. Shu, Y., Jin, Z., Wang, J., Yang, O.W.: ‘Prediction-based admission control using FARIMA models’. Proc. of the IEEE Int. Conf. on Communications (ICC'00), New Orleans, 2000, vol. 3, pp. 13251329.
    14. 14)
      • 14. Sang, A., Li, S.: ‘A predictability analysis of network traffic’. Proc. IEEE INFOCOM, Israel, March 2000, pp. 342351.
    15. 15)
    16. 16)
      • 16. Kramer, G., Mukherjee, B., Dixit, S., Ye, Y., Hirth, R.: ‘Supporting differentiated classes of service in Ethernet passive optical networks’, J. Opt. Netw., 2002, 1, pp. 280298.
    17. 17)
      • 17. Sadek, N., Khotanzad, A.: ‘A dynamic bandwidth allocation using a two-stage fuzzy neural network based traffic predictor’. Proc. of IEEE Int. Conf. on Neural Networks, Hungary, July 2004, pp. 24072412.
    18. 18)
    19. 19)
      • 19. Hwang, I.-S., Lee, J-Y., Liem, A.: ‘QoS-based genetic expression programming prediction scheme in the EPON's’. Progress in Electromegnetics Research Symp. Proc., March 2012, p. 1589.
    20. 20)
    21. 21)
      • 21. Morato, D., Acacil, J., Diez, L.A., Izal, M., Magana, E.: ‘On linear prediction of internet traffic for packet and burst switching networks’. IEEE ICCN, USA, 2001.
    22. 22)
      • 22. Diniz, P.S.R.: ‘Adaptive filtering, algorithms and practical implementation’ (Springer, 2002, 4th edn., 2013).
    23. 23)
      • 23. ‘Omnet++ simulator’, http://www.omnetpp.org/.
    24. 24)
    25. 25)
      • 25. ‘Generator of self-similar traffic’, http://www.glenkramer.com/ucdavis/code/trf_gen3.html.
    26. 26)
      • 26. Harandi, S.T.: ‘Self-Similar Traffic Modeling and Clos-like Packet Switch Architectures’, Postdoctoral thesis, University of Ottawa, 2005.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cds.2013.0419
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