Testing the Gaussian assumption for self-similar teletraffic models

S  Bates; Steve McLaughlin

doi:10.1109/HOST.1997.613564

Testing the Gaussian assumption for self-similar teletraffic models

S Bates, Steve McLaughlin

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

7 Citations (Scopus)

Abstract

Both the fractional Brownian motion (fBm) and the Antoregressive Integrated Moving Average (ARIMA) models have been applied to teletraffic scenarios in recent years. These models became popular after the discovery that Ethernet and VBR video data appear to possess the property of self-similarity. However the results presented in this paper suggest that Ethernet data is more impulsive than traffic generated by these models.

Original language	English
Title of host publication	Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, 1997
Publisher	IEEE
Pages	444-447
Number of pages	4
ISBN (Print)	0-8186-8005-9
DOIs	https://doi.org/10.1109/HOST.1997.613564
Publication status	Published - 1997
Event	IEEE Signal Processing Workshop on Higher-Order Statistics 1997 - Banff, Canada Duration: 21 Jul 1997 → 23 Jul 1997

Conference

Conference	IEEE Signal Processing Workshop on Higher-Order Statistics 1997
Country/Territory	Canada
City	Banff
Period	21/07/97 → 23/07/97

Access to Document

10.1109/HOST.1997.613564

Cite this

@inproceedings{be0bf5986cc5456f9b28420d34b6d361,

title = "Testing the Gaussian assumption for self-similar teletraffic models",

abstract = "Both the fractional Brownian motion (fBm) and the Antoregressive Integrated Moving Average (ARIMA) models have been applied to teletraffic scenarios in recent years. These models became popular after the discovery that Ethernet and VBR video data appear to possess the property of self-similarity. However the results presented in this paper suggest that Ethernet data is more impulsive than traffic generated by these models.",

author = "S Bates and Steve McLaughlin",

note = "INSPEC Accession Number: 5794197; IEEE Signal Processing Workshop on Higher-Order Statistics 1997 ; Conference date: 21-07-1997 Through 23-07-1997",

year = "1997",

doi = "10.1109/HOST.1997.613564",

language = "English",

isbn = "0-8186-8005-9",

pages = "444--447",

booktitle = "Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, 1997",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Testing the Gaussian assumption for self-similar teletraffic models

AU - Bates, S

AU - McLaughlin, Steve

N1 - INSPEC Accession Number: 5794197

PY - 1997

Y1 - 1997

N2 - Both the fractional Brownian motion (fBm) and the Antoregressive Integrated Moving Average (ARIMA) models have been applied to teletraffic scenarios in recent years. These models became popular after the discovery that Ethernet and VBR video data appear to possess the property of self-similarity. However the results presented in this paper suggest that Ethernet data is more impulsive than traffic generated by these models.

AB - Both the fractional Brownian motion (fBm) and the Antoregressive Integrated Moving Average (ARIMA) models have been applied to teletraffic scenarios in recent years. These models became popular after the discovery that Ethernet and VBR video data appear to possess the property of self-similarity. However the results presented in this paper suggest that Ethernet data is more impulsive than traffic generated by these models.

U2 - 10.1109/HOST.1997.613564

DO - 10.1109/HOST.1997.613564

M3 - Conference contribution

SN - 0-8186-8005-9

SP - 444

EP - 447

BT - Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, 1997

PB - IEEE

T2 - IEEE Signal Processing Workshop on Higher-Order Statistics 1997

Y2 - 21 July 1997 through 23 July 1997

ER -

Testing the Gaussian assumption for self-similar teletraffic models

Abstract

Conference

Access to Document

Fingerprint

Cite this