EECS 290Q: Project Abstracts
# Statistical Multiplexing of Regulated Traffic in an ATM node

Yuan-Chi Chang

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Traditional statistical multiplexing analysis relies on accurate statistical models
provided by traffic sources. This is not the case, however, in the worst-case
framework where traffic is simply regulated by leaky bucket schemes.
One advantage of using deterministic traffic regulators is that it relieves sources
from specifying their models. Therefore, model accuracy is not an issue and the
network can easily verify if sources obey the QoS contracts, which is probably very
difficult to do if statistical models are used.

In this project, I reviewed the current research efforts in the direction of
applying simple traffic regulators in the statistical multiplexing context. In
particular, I focused on the most recent published result and described its
novel approach in dealing with the problem of buffer and bandwidth allocations.
The paper pointed out the situations when a traffic source is non-statistically
multiplexable (non-SM) and further characterized the nonlinearity of the
admissible region if SM and non-SM sources are multiplexed. An implication of
this nonlinearity is that the nice additive property of effective bandwidth no
longer holds.

Since this research field is fairly new, a number of interesting issues remain
open. At the end of the paper, I itemized some of them and discussed possible
future directions.

UCB Networking / Matt Siler siler@eecs.berkeley.edu/ April 19, 1996