Abstract
Recent studies at Bellcore have shown that traffic rates in high-speed data networks exhibit ‘long-range dependence’ in their correlation, characterized by the so-called Hurst parameter H assuming values in the range 0.5<H<1. This corresponds to correlation that has a smaller asymptotic rate of decay than in Markovian processes, for whichH = 0.5. Simulations suggest that link-engineering based on Markovian traffic models could, in some situations, underestimate the bandwidth requirements of the actual traffic. However, another Bellcore study presents results in which a Markovian traffic model has been successful in determining bandwidth requirements for Variable-Bit-Rate video sources, which haveH>0.5.
We report here the results of an investigation undertaken to bridge the gap in our understanding of the results of these two studies, and to analyze the effect of the Hurst parameter on link-engineering for ATM traffic. Our investigation has shown that a curious ‘scaling’ property of streams with long-range dependence, derived in another recent Bellcore study, helps to bridge the gap by accounting for the results of both studies. The analysis suggests that a high value of H is not, in itself, a reason to suppose that Markovian traffic models will lead to under-engineering of bandwidth on ATM links.
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© 1996 IFIP International Federation for Information Processing
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Krishnan, K.R., Meempat, G. (1996). Traffic Engineering for VBR Video with Long-Range Dependence. In: Mason, L., Casaca, A. (eds) Broadband Communications. BC 1996. IFIP Advances in Information and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34987-9_39
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DOI: https://doi.org/10.1007/978-0-387-34987-9_39
Publisher Name: Springer, Boston, MA
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