Abstract
Video and LAN traffics can be modelled as self-similar processes and the Hurst parameter is a measure of the self-similarity of a process. The purpose of this work is to use this characteristic of Internet traffic to optimise the bandwidth utilization and consequently the network cost of Video on Demand Service Providers (VDSP). The work refers to one aspect of a global project that specifies intelligent agent architecture to manage the relationship among VDSP, Internet Service Providers (ISPs) and end-customers. In this paper, we also discuss the egress traffic aspect of the VDSP and propose a neural network approach to monitor and to estimate the nature of the egress traffic using the Hurst parameter. This approach takes into account the real MPEG-4 (Moving Picture Experts Group) streams with flow aggregated.
This work has been supported by CAPES (Brazil) under grant number 266/99-I.
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Gomes, D.G., Agoulmine, N., de Souza, J.N. (2004). Bandwidth Allocation Management Based on Neural Networks Prediction for VoD System Providers. 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_4
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DOI: https://doi.org/10.1007/978-3-540-27767-5_4
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