Twenty-first century communications will be dominated by intelligent high-speed information networks. Ubiqui-tous access to the network through wired and wireless technology, adaptable network systems, and broadband

in particular. Subsequently, a new simulation method is introduced for the fast parallel simulation of a common network element, namely, a work--conserving finite capacity statistical multiplexer of bursty ON/OFF sources arriving on input links of equal peak rate. The primary performance measure of interest

Statistical multiplexing requires a decision function to classify which source combinations can be multiplexed through a given packet network node while meeting quality of service guarantees. This chapter shows there are no practical fixed statistical multiplexing decision functions that carry

Abstract — Most previous work in statistical multiplexing only considered the case where the link transmission rates are fixed. In this paper, we consider statistical multiplexing in networks with adaptive transmission rates, with focus on DSL broadband access networks. This requires a jointly

This paper introduces the computation of an expression for the time at which the length of a queue fed by several multifractal ows reaches its maximum. Expressions for the equivalent bandwidth of an aggregate of multifractal ows is also presented.

We study the performance of a statistical multiplexer whose inputs consist of a superposition of packetized voice sources and data. The performance analysis predicts voice packet delay distributions, which usually have a stringent requirement, as well as data packet delay distributions

A novel technique for implementing statistical multiplexing (StatMux) of broadcast services over Digital Video Broadcasting for Handhelds (DVB-H) channels is proposed. DVB-H uses a time-sliced transmission scheme to reduce the power consumption used for radio reception part in DVB-H receivers. Due

: this behaviour is called spacing. Assuming geometric distribution for the active and the passive period and for the number of packets generated in an active period, a functional equation is derived for describing the full steady-state buffer behaviour of the multiplexer. This functional equation de-pends on a

We study the problem of statistical multiplexing of cell streams that have correlations at multiple time-scales. Each stream is modeled by a singularly perturbed Markov-modulated process with some state transitions occurring much less frequently than others. One motivation of this model comes from

) sharing the same buffer pool; (3) use of credit-based fiow control to improve the effectiveness of statistical multiplexing in minimizing switch memory. These results have been substantiated by analysis, simulation and implementa- tion.