Is VBR video non-stationary or self-similar? Implications for ATM traffic characterisation

Stephen Bates; Steve McLaughlin

Is VBR video non-stationary or self-similar? Implications for ATM traffic characterisation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper attempts to determine whether VER video signals are either non-stationary or self-similar in nature as this has major implications for source characterisation on RTM networks. A quantitative test for determining the extent to which a signal can be considered wide sense stationary is developed from standard hypothesis testing techniques. This test is applied to VER video data and three stationary models. A test is developed from the Hurst exponent estimator and this is also applied to the four sets of data and an additional ARIMA model. The implications of the results for characterisation techniques on ATM networks are discussed.

Original language	English
Title of host publication	Modelling and Simulation 1996
Editors	András Jávor, Axel Lehmann, István Molnár
Pages	531-534
Number of pages	4
Publication status	Published - 1996
Event	10th European Simulation Multiconference 1996 - Budapest, Hungary Duration: 2 Jun 1996 → 6 Jun 1996

Conference

Conference	10th European Simulation Multiconference 1996
Abbreviated title	ESM 1996
Country/Territory	Hungary
City	Budapest
Period	2/06/96 → 6/06/96

Cite this

@inproceedings{cc5bb9847318484fb3e32d5b581ebb07,

title = "Is VBR video non-stationary or self-similar? Implications for ATM traffic characterisation",

abstract = "This paper attempts to determine whether VER video signals are either non-stationary or self-similar in nature as this has major implications for source characterisation on RTM networks. A quantitative test for determining the extent to which a signal can be considered wide sense stationary is developed from standard hypothesis testing techniques. This test is applied to VER video data and three stationary models. A test is developed from the Hurst exponent estimator and this is also applied to the four sets of data and an additional ARIMA model. The implications of the results for characterisation techniques on ATM networks are discussed.",

author = "Stephen Bates and Steve McLaughlin",

year = "1996",

language = "English",

isbn = "1-56555-097-8",

pages = "531--534",

editor = "J{\'a}vor, { Andr{\'a}s} and Axel Lehmann and Istv{\'a}n Moln{\'a}r",

booktitle = "Modelling and Simulation 1996",

note = "10th European Simulation Multiconference 1996, ESM 1996 ; Conference date: 02-06-1996 Through 06-06-1996",

}

TY - GEN

T1 - Is VBR video non-stationary or self-similar? Implications for ATM traffic characterisation

AU - Bates, Stephen

AU - McLaughlin, Steve

PY - 1996

Y1 - 1996

N2 - This paper attempts to determine whether VER video signals are either non-stationary or self-similar in nature as this has major implications for source characterisation on RTM networks. A quantitative test for determining the extent to which a signal can be considered wide sense stationary is developed from standard hypothesis testing techniques. This test is applied to VER video data and three stationary models. A test is developed from the Hurst exponent estimator and this is also applied to the four sets of data and an additional ARIMA model. The implications of the results for characterisation techniques on ATM networks are discussed.

AB - This paper attempts to determine whether VER video signals are either non-stationary or self-similar in nature as this has major implications for source characterisation on RTM networks. A quantitative test for determining the extent to which a signal can be considered wide sense stationary is developed from standard hypothesis testing techniques. This test is applied to VER video data and three stationary models. A test is developed from the Hurst exponent estimator and this is also applied to the four sets of data and an additional ARIMA model. The implications of the results for characterisation techniques on ATM networks are discussed.

M3 - Conference contribution

SN - 1-56555-097-8

SN - 9781565550971

SP - 531

EP - 534

BT - Modelling and Simulation 1996

A2 - Jávor, András

A2 - Lehmann, Axel

A2 - Molnár, István

T2 - 10th European Simulation Multiconference 1996

Y2 - 2 June 1996 through 6 June 1996

ER -

Is VBR video non-stationary or self-similar? Implications for ATM traffic characterisation

Abstract

Conference

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