The goal of admission control is to support the quality-of-service demands
of real-time applications via resource reservation. In this paper, we intro
duce a new approach to measurement-based admission control for multiclass n
etworks with link sharing. We employ adaptive and measurement-based maximal
rate envelopes of the aggregate traffic flow to provide a general and accu
rate traffic characterization that captures its temporal correlation as wel
l as the available statistical multiplexing gain. In estimating application
s' future performance, we introduce the notion of a schedulability confiden
ce level which describes the uncertainty of the measurement-based "predicti
on" and reflects temporal variations in the measured envelope. We then devi
se techniques to control loss probability for a buffered multiplexer servic
ing heterogeneous and bursty traffic flows, even in the regime of a moderat
e number of traffic flows, which is important in link-sharing environments.
Finally, we have developed an implementation of the scheme on a prototype
router and performed a testbed measurement study, which together with exten
sive trace-driven simulations illustrates the effectiveness of the approach
in practical scenarios.