Abstract
This paper takes use of chaos related theories to analyze the real network traffic about its chaotic properties and prediction attributes. Owning to the good performance of chaos-based prediction in short term forecasting, the prediction-based DiffServ framework and the Dynamic QoS scheme are firstly given in the paper. The OPNET-based simulating result shows that the QoS performaces and the network’s throughputs in heavy-load environment are all improved remarkably, comparing with the traditional static QoS configuring and measure-based dynamic QoS setting methods.
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References
IETF working Group:Resource Reservation Protocol(RSVP)– version 1Functional Speci-fication. RFC 2205
Cheng, I.J., Anthony, M., Armando, C., et al.: QoS Architecture Based on Differentiated Services for Next Generation. IETF Internet Draft (July 2000)
Isoyama, K., Yoshida, M., et al.: Policy Framework QoS Information Model for MPLS. IETF Internet Draft (July 12, 2000)
Zhao, B., Liu, Z.: Estimation of QoS Parameters Based on Measurement and Its Apl-lication. Journal of Software 13(7) (2002)
Jin, X., Li, J.: Using Measurement-Based WFQ to Implement PDS and Its Per-formance Analysin. ACTA Electronica Sinica 30(3) (2002)
Leland, W.E., Taqqu, M.S., Willinger, W.: On the self-similar nature of Ethernet traffic. IEEE/ACM Transactions on Networking 2, 1–15 (1995)
Feldmann, W., Gilbert, A.C., Willinger, W.: Data networks as cascades: investigating the multigractal nature of Internet WAN traffic. In: ACM SIGCOMM 1998 Conference, Vancouver, BC, Canada (1998)
Sugihara, G., May, R.M.: Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature 344, 734–741 (1993)
liang, Z., Wang, L.: Short-term load prediction for power system based on Lyapunov exponent. Chinese Electrical Engineering Transaction 18(5), 368–371 (2002)
Kugiurmtzis, D.: State space reconstr uction parameters in the analysis of chaotic time se-ries-the role of the time window length. Physica D 95, 13–28 (1998)
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Zhao, Q., Li, Q. (2005). Chaos-Based Dynamic QoS Scheme and Simulating Analysis. In: Cao, J., Nejdl, W., Xu, M. (eds) Advanced Parallel Processing Technologies. APPT 2005. Lecture Notes in Computer Science, vol 3756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573937_40
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DOI: https://doi.org/10.1007/11573937_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29639-3
Online ISBN: 978-3-540-32107-1
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