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To see that the latter model has the desired large-time and small-time scaling properties and hence is in agreement with the observed additive and multiplicative properties of actual network traf c, we keep (2) and (3) as is, but note that the selfsimilar scaling property for the aggregate TCP connection traf c rate can be accomplished by relying on the underlying session structure of the original Kurtz's model That is, user-initiated sessions continue to arrive in a Poisson fashion, but the session workload is now expressed in terms of the number of TCP connections that make up a particular session and remains heavy tailed with in nite variance; for consistency, we assume that the TCP connections within a session arrive in such a way that they don't overlap with one another.
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It is then easy to see that this two-tier approach to describing aggregate WAN traf c yields the additive traf c component via the TCP-connection-within-structure and the multiplicative component via the dynamics prescribed for the packets within individual TCP connections Moreover, this two-tier approach is also fully consistent with measured Internet traf c at the different layers in the TCP=IP protocol heirarchy (eg, see Feldmann et al [12]) 2043 Toward a Comprehensive Study of Network Performance.
The attractive feature of the above structural model for wide-area traf c is that it is consistent with measured traf c at all levels of interest and that it accounts in a
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parsimonious manner for both the global or large-time scale as well as local or smalltime scale characteristics observed in measured WAN traf c While the global scaling behavior is already part of Kurtz's original model (via the relationship between heavy-tailed sizes or durations of the individual sessions and the asymptotic self-similarity of the aggregate packet stream) and is captured by the Hurst parameter H, the original model does not incorporate local scaling behavior However, we have seen earlier that by choosing an appropriate generator for the generic underlying conservative binomial cascade for the within-connection traf c rate process, we are able to obtain the same overall multifractal scaling as captured by the multifractal spectrum associated with the generic cascade model for the individual TCP connections.
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