The effective bandwidth of stable distributions

S  Bates; Steve McLaughlin

doi:10.1109/ICASSP.1998.681604

The effective bandwidth of stable distributions

S Bates, Steve McLaughlin

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

5 Citations (Scopus)

Abstract

In this paper the effective bandwidths of stable distributions are studied. Effective bandwidths are being heavily promoted as the most appropriate method for call admission control (CAC) and resource allocation within ATM networks. Recent work in teletraffic modelling has suggested that models based on stable distribution provide an efficient mechanism for capturing the long range dependence and infinite variance associated with teletraffic data (the Joseph and Noah effects; see [1]). This has potentially serious implications for effective bandwidths and we show how the effective bandwidth of such data is theoretically infinite. We then present two approximate methods for estimating the effective bandwidth of data based on stable distribution.

Original language	English
Title of host publication	Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing
Publisher	IEEE
Pages	2281-2284
Number of pages	4
Volume	4
ISBN (Print)	0-7803-4428-6
DOIs	https://doi.org/10.1109/ICASSP.1998.681604
Publication status	Published - 1998
Event	23rd IEEE International Conference on Acoustics, Speech and Signal Processing 1998 - Seattle, United States Duration: 12 May 1998 → 15 May 1998

Conference

Conference	23rd IEEE International Conference on Acoustics, Speech and Signal Processing 1998
Abbreviated title	ICASSP 1998
Country/Territory	United States
City	Seattle
Period	12/05/98 → 15/05/98

Access to Document

10.1109/ICASSP.1998.681604

Cite this

@inproceedings{b0ab434d925e4ab0a1a7a3df024734a8,

title = "The effective bandwidth of stable distributions",

abstract = "In this paper the effective bandwidths of stable distributions are studied. Effective bandwidths are being heavily promoted as the most appropriate method for call admission control (CAC) and resource allocation within ATM networks. Recent work in teletraffic modelling has suggested that models based on stable distribution provide an efficient mechanism for capturing the long range dependence and infinite variance associated with teletraffic data (the Joseph and Noah effects; see [1]). This has potentially serious implications for effective bandwidths and we show how the effective bandwidth of such data is theoretically infinite. We then present two approximate methods for estimating the effective bandwidth of data based on stable distribution.",

author = "S Bates and Steve McLaughlin",

note = "INSPEC Accession Number: 6061684; 23rd IEEE International Conference on Acoustics, Speech and Signal Processing 1998, ICASSP 1998 ; Conference date: 12-05-1998 Through 15-05-1998",

year = "1998",

doi = "10.1109/ICASSP.1998.681604",

language = "English",

isbn = "0-7803-4428-6",

volume = "4",

pages = "2281--2284",

booktitle = "Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing",

publisher = "IEEE",

address = "United States",

}

Bates, S & McLaughlin, S 1998, The effective bandwidth of stable distributions. in Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing. vol. 4, IEEE, pp. 2281-2284, 23rd IEEE International Conference on Acoustics, Speech and Signal Processing 1998, Seattle, United States, 12/05/98. https://doi.org/10.1109/ICASSP.1998.681604

TY - GEN

T1 - The effective bandwidth of stable distributions

AU - Bates, S

AU - McLaughlin, Steve

N1 - INSPEC Accession Number: 6061684

PY - 1998

Y1 - 1998

N2 - In this paper the effective bandwidths of stable distributions are studied. Effective bandwidths are being heavily promoted as the most appropriate method for call admission control (CAC) and resource allocation within ATM networks. Recent work in teletraffic modelling has suggested that models based on stable distribution provide an efficient mechanism for capturing the long range dependence and infinite variance associated with teletraffic data (the Joseph and Noah effects; see [1]). This has potentially serious implications for effective bandwidths and we show how the effective bandwidth of such data is theoretically infinite. We then present two approximate methods for estimating the effective bandwidth of data based on stable distribution.

AB - In this paper the effective bandwidths of stable distributions are studied. Effective bandwidths are being heavily promoted as the most appropriate method for call admission control (CAC) and resource allocation within ATM networks. Recent work in teletraffic modelling has suggested that models based on stable distribution provide an efficient mechanism for capturing the long range dependence and infinite variance associated with teletraffic data (the Joseph and Noah effects; see [1]). This has potentially serious implications for effective bandwidths and we show how the effective bandwidth of such data is theoretically infinite. We then present two approximate methods for estimating the effective bandwidth of data based on stable distribution.

U2 - 10.1109/ICASSP.1998.681604

DO - 10.1109/ICASSP.1998.681604

M3 - Conference contribution

SN - 0-7803-4428-6

VL - 4

SP - 2281

EP - 2284

BT - Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing

PB - IEEE

T2 - 23rd IEEE International Conference on Acoustics, Speech and Signal Processing 1998

Y2 - 12 May 1998 through 15 May 1998

ER -

The effective bandwidth of stable distributions

Abstract

Conference

Access to Document

Fingerprint

Cite this