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Effect of on/off distributions on the cell loss probability

TLDR
Numerical results indicate that, for a given fixed burst length, the distributions of the on/off periods have a significant impact on the cell loss probability.
Abstract
In this paper, we study the effect of the distributions of on/off periods (of on/off sources) on the cell loss probability in an ATM network. Most of the previous works assume that the sources are characterized by their peak and average rates and/or their average burst lengths. Based on these parameters, two-state on/off sources, whose on and off periods are exponentially or geometrically dis- tributed, are then constructed. The cell loss probability in a statistical multiplexer with a finite buffer is approximately computed for the constructed two-state source models. In this paper, we assume that the distributions of the on/off periods are general, such as hyper-geometrical, gen- eral with finite support, and mixed geometrical. The buffer capacity is assumed to finite. Exact expressions for the cell loss probability can be derived, but numerical results are difficult to obtain. Decomposition methods and asymptotic analysis are used to derive simple, accurate approximations for the cell loss probability. Numerical results indicate that, for a given fixed burst length, the distributions of the on/off periods have a significant impact on the cell loss probability. The approximate results are verified using simulation results and are found to be very accurate for most cases. We ob- serve that, for a buffer size of 400 cells, the maximum link utilization that the link can achieve subject to a cell loss probability of is only about 50-60%. Therefore, heavy load approximation should be used cautiously. The results presented here can be used in admission control.

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Citations
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Journal ArticleDOI

Improved loss calculations at an ATM multiplexer

TL;DR: This paper develops a simple and accurate analytical technique to determine the loss probability at an access node to an asynchronous transfer mode (ATM) network and shows that capacity allocation based on the popular effective-bandwidth scheme can lead to considerable under-utilization of the network.
Dissertation

Analysis of generic discrete-time buffer models with irregular packet arrival patterns

Bart Steyaert
TL;DR: In this paper, the authors bestuderen the performance of a buffer with a geschikt stochastisch discrete-tijd wachtlijn model.
Journal ArticleDOI

Perspectives on ATM switch architecture and the influence of traffic pattern assumptions on switch design

TL;DR: Switch designs and the uniform distribution traffic pattern that has been the basis of much switch design analysis are discussed and it is shown that head of line blocking is not the major cause of switch and link underutilization.
Proceedings ArticleDOI

Equivalent bandwidth for heterogeneous sources in ATM networks

TL;DR: The authors present an accurate approximation for computing the equivalent bandwidth for heterogeneous sources, especially for a mixture of voice and simulated video sources, which is accurate over a wide range of system parameters.
Book ChapterDOI

Performance Analysis of Cell Rate Monitoring Mechanisms in ATM Systems

TL;DR: In this paper, the authors present queueing models operating in discrete-time for the cell rate monitoring, where arbitrary renewal cell input processes are taken into account, where the lengths of ON-and OFF-phases can be arbitrarily distributed, and the proper choice of the source traffic descriptor parameter values like cell delay variation tolerance, sustainable cell rate and burst tolerance for different cell process characteristics to be enforced.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Proceedings ArticleDOI

ATM: bandwidth assignment and bandwidth enforcement policies

TL;DR: Two techniques are presented: the class-related rule and the virtual leaky bucket mechanism that can effectively solve the bandwidth-assignment problem for ATM (asynchronous transfer mode) when different classes of services are multiplexed on the same network trunk.
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