EECS 290Q: Project Abstracts
Self - Similar Traffic Models for Communication Networks
In a recent series of papers (e.g. ), traffic measurements
on Local Area Networks (LANs), which are
both very accurate and extensive in time, have been reported.
These measurements challenge traditional data traffic modelling,
which have been mostly based on the Poisson process, or more
generally, short - range dependent processes,
since one of their most striking features is the tremendous
burstiness of the traffic at, practically, any time scale.
Moreover, statistical analysis has shown that the traffic is
self - similar in nature with a surprising accuracy. As a result,
it becomes necessary to study the performance and the design
of network components, and in particular storage and switching
subsystems, by taking the long - range dependence of the input
traffic into consideration.
We propose to read the listed references and try to give a
comprehensive review of this relatively new area. We will
show some of the implications that these new traffic models
have on ATM buffer analysis.
- W.E. Leland, M.S. Taqqu, W. Willinger and D.V. Wilson, "On the
Self - Similar Nature of Ethernet Traffic", IEEE/ACM Trans. on
Networking, vol. 2, No. 1, Febr. 1994.
- I. Norros, "A Storage Model with Self - Similar Input",
Queueing Systems, vol. 16 (1994), pp. 387-396.
- N. Likhanov, B. Tsybakov and N. D. Georganas, "Analysis of an
ATM Buffer with Self - Similar ("Fractal") Input Traffic", preprint.
- I. Norros, "On the Use of Fractional Brownian Motion in the
Theory of Connectionless Networks", IEEE Journal on Selected
Areas of Communications, Aug. 1995.
UCB Networking / Matt Siler firstname.lastname@example.org/ April 19, 1996