Modeling of dependence in a peer-to-peer video application

Natalia M. Markovich

doi:10.1145/1815396.1815470

Modeling of dependence in a peer-to-peer video application

Natalia M. Markovich

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

4 Scopus citations

Abstract

We consider the underlying network characteristics of an IPTV trace. The pairwise dependence in a triple (X; Y;R) denoting the inter-arrival time between packets, the packet length and the rate of transmission in a peer-to-peer IPTV session is detected and modeled. The three quantities are related by R = Y=X. We argue that the inter-arrival time and the packet length as well as the rate and the packet length are dependent, and the rate and the inter-arrival time are almost independent random variables. The Pickand's function and an empirical copula are used as measures of dependence. A Clayton copula provides an appropriate model of all underlying pair-wise dependencies.

Original language	English
Title of host publication	IWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Pages	316-320
Number of pages	5
DOIs	https://doi.org/10.1145/1815396.1815470
State	Published - 6 Aug 2010
Externally published	Yes
Event	6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010 - Caen, France Duration: 28 Jun 2010 → 2 Jul 2010

Publication series

Name	IWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

Conference

Conference	6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010
Country/Territory	France
City	Caen
Period	28/06/10 → 2/07/10

Keywords

IPTV video packet flow
Peer-to-peer
Statistical traffic modeling and characterization

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Networks and Communications

Access to Document

10.1145/1815396.1815470

Cite this

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title = "Modeling of dependence in a peer-to-peer video application",

abstract = "We consider the underlying network characteristics of an IPTV trace. The pairwise dependence in a triple (X; Y;R) denoting the inter-arrival time between packets, the packet length and the rate of transmission in a peer-to-peer IPTV session is detected and modeled. The three quantities are related by R = Y=X. We argue that the inter-arrival time and the packet length as well as the rate and the packet length are dependent, and the rate and the inter-arrival time are almost independent random variables. The Pickand's function and an empirical copula are used as measures of dependence. A Clayton copula provides an appropriate model of all underlying pair-wise dependencies.",

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note = "6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010 ; Conference date: 28-06-2010 Through 02-07-2010",

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Markovich, NM 2010, Modeling of dependence in a peer-to-peer video application. in IWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference. IWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, pp. 316-320, 6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010, Caen, France, 28/06/10. https://doi.org/10.1145/1815396.1815470

Modeling of dependence in a peer-to-peer video application. / Markovich, Natalia M.
IWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference. 2010. p. 316-320 (IWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference).

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

TY - GEN

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AB - We consider the underlying network characteristics of an IPTV trace. The pairwise dependence in a triple (X; Y;R) denoting the inter-arrival time between packets, the packet length and the rate of transmission in a peer-to-peer IPTV session is detected and modeled. The three quantities are related by R = Y=X. We argue that the inter-arrival time and the packet length as well as the rate and the packet length are dependent, and the rate and the inter-arrival time are almost independent random variables. The Pickand's function and an empirical copula are used as measures of dependence. A Clayton copula provides an appropriate model of all underlying pair-wise dependencies.

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KW - Statistical traffic modeling and characterization

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Modeling of dependence in a peer-to-peer video application

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this