Gaussian traffic revisited

R. de Oliveira Schmidt, R. Sadre, Aiko Pras

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)
4 Downloads (Pure)

Abstract

The assumption of Gaussian traffic is widely used in network modeling and planning. Due to its importance, researchers have repeatedly studied the Gaussian character of traffic aggregates. However, dedicated studies on this subject date back to 2002 and 2006. It is well known that network traffic has changed in the past few years due the the increasing use of social networks, clouds and video streaming websites. Therefore, the goal of this paper is to verify whether the Gaussianity assumption still holds for current network traffic. To this end, we study the characteristics of a large dataset, consisting of traces from four continents. The employed analysis methodology is similar to that found in previous works. In addition to the analysis of recent measurements, we also perform tests for a very long measurement period of six years. Our results show that the evolution of network traffic has not had a significant impact on its Gaussian character. Our findings also indicate that it is safer to relate the degree of Gaussianity to traffic bandwidth than to the number of users for high-speed links.
Original languageEnglish
Title of host publication2013 IFIP Networking Conference
Subtitle of host publicationProceedings IFIP Networking Conference, May 22-24, 2013, Brooklyn, New York, USA
EditorsS. Panwar
PublisherIEEE
Number of pages9
ISBN (Print)978-3-901882-55-5
Publication statusPublished - 22 May 2013
Event12th IFIP Networking Conference 2013 - Brooklyn, United States
Duration: 22 May 201324 May 2013
https://networking.ifip.org/2013/index.html

Conference

Conference12th IFIP Networking Conference 2013
CountryUnited States
CityBrooklyn
Period22/05/1324/05/13
Internet address

Fingerprint

Video streaming
Telecommunication traffic
Websites
Bandwidth
Planning

Keywords

  • EWI-23292
  • traffic models
  • IR-87972
  • Gaussianity fit
  • METIS-299964
  • Gaussian model

Cite this

de Oliveira Schmidt, R., Sadre, R., & Pras, A. (2013). Gaussian traffic revisited. In S. Panwar (Ed.), 2013 IFIP Networking Conference: Proceedings IFIP Networking Conference, May 22-24, 2013, Brooklyn, New York, USA [21] IEEE.
de Oliveira Schmidt, R. ; Sadre, R. ; Pras, Aiko. / Gaussian traffic revisited. 2013 IFIP Networking Conference: Proceedings IFIP Networking Conference, May 22-24, 2013, Brooklyn, New York, USA. editor / S. Panwar. IEEE, 2013.
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title = "Gaussian traffic revisited",
abstract = "The assumption of Gaussian traffic is widely used in network modeling and planning. Due to its importance, researchers have repeatedly studied the Gaussian character of traffic aggregates. However, dedicated studies on this subject date back to 2002 and 2006. It is well known that network traffic has changed in the past few years due the the increasing use of social networks, clouds and video streaming websites. Therefore, the goal of this paper is to verify whether the Gaussianity assumption still holds for current network traffic. To this end, we study the characteristics of a large dataset, consisting of traces from four continents. The employed analysis methodology is similar to that found in previous works. In addition to the analysis of recent measurements, we also perform tests for a very long measurement period of six years. Our results show that the evolution of network traffic has not had a significant impact on its Gaussian character. Our findings also indicate that it is safer to relate the degree of Gaussianity to traffic bandwidth than to the number of users for high-speed links.",
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de Oliveira Schmidt, R, Sadre, R & Pras, A 2013, Gaussian traffic revisited. in S Panwar (ed.), 2013 IFIP Networking Conference: Proceedings IFIP Networking Conference, May 22-24, 2013, Brooklyn, New York, USA., 21, IEEE, 12th IFIP Networking Conference 2013, Brooklyn, United States, 22/05/13.

Gaussian traffic revisited. / de Oliveira Schmidt, R.; Sadre, R.; Pras, Aiko.

2013 IFIP Networking Conference: Proceedings IFIP Networking Conference, May 22-24, 2013, Brooklyn, New York, USA. ed. / S. Panwar. IEEE, 2013. 21.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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de Oliveira Schmidt R, Sadre R, Pras A. Gaussian traffic revisited. In Panwar S, editor, 2013 IFIP Networking Conference: Proceedings IFIP Networking Conference, May 22-24, 2013, Brooklyn, New York, USA. IEEE. 2013. 21