Abstract
In this paper, we propose a novel dynamic traffic bandwidth allocation method for network congestion control where the network traffic is modeled by a multifractal process. The network traffic is assumed to present the same correlation structure as the multifractional Brownian motion (mbm), which is characterized by its Hölder exponents. The value of the Holder exponent at a given time indicates the degree of the traffic burstiness at that time. Based on the mBm correlation structure, a mean-square error discrete-time k-step traffic predictor is implemented. The predictor was applied at dynamic bandwidth allocation in a network link and several simulations were accomplished in order to verify how effective the proposed method is.
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Bianchi, G.R., Vieira Teles, F.H., Ling, L.L. (2004). Predictive Dynamic Bandwidth Allocation Based on Multifractal Traffic Characteristic. In: Dini, P., Lorenz, P., de Souza, J.N. (eds) Service Assurance with Partial and Intermittent Resources. SAPIR 2004. Lecture Notes in Computer Science, vol 3126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27767-5_3
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DOI: https://doi.org/10.1007/978-3-540-27767-5_3
Publisher Name: Springer, Berlin, Heidelberg
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