TELEPHONE TRAFFIC ANALYSIS BASED ON SCALE-FREE USER NETWORK AND SCALE-FREE LOAD DISTRIBUTION

Yongxiang Xia; Chi K. Tse; Francis C. M. Lau; Wai Man  Tam; Xiuming Shan

TELEPHONE TRAFFIC ANALYSIS BASED ON SCALE-FREE USER NETWORK AND SCALE-FREE LOAD DISTRIBUTION

Yongxiang Xia, Chi K. Tse, Francis C. M. Lau, Wai Man Tam, Xiuming Shan

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

In this paper we analyze the traffic of telephone systems. Unlike classical traffic analysis where users are assumed to be connected uniformly, our proposed method employs a scale-free network to model the connectivity of telephone users. Furthermore, the probabilities for different users to make calls are different. This inequality is expressed by a scale-free traffic load distribution. We show that network traffic is greatly influenced by the user behavior, and that call blocking probability is generally higher in the case of a scale-free user network. It is also shown that the carried traffic intensity is practically limited not only by the network capacity but also by the scale-free properties of the user behavior. Copyright © 2006 Watam Press.

Original language	English
Pages (from-to)	345-352
Journal	Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
Volume	13
Issue number	3-4
Publication status	Published - Jun 2006
Externally published	Yes

Research Keywords

Traffic analysis
telephone network
user network
scale-free network
call blocking

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@article{8c90e5dc2bb34d5a936809ec2df69bba,

title = "TELEPHONE TRAFFIC ANALYSIS BASED ON SCALE-FREE USER NETWORK AND SCALE-FREE LOAD DISTRIBUTION",

abstract = "In this paper we analyze the traffic of telephone systems. Unlike classical traffic analysis where users are assumed to be connected uniformly, our proposed method employs a scale-free network to model the connectivity of telephone users. Furthermore, the probabilities for different users to make calls are different. This inequality is expressed by a scale-free traffic load distribution. We show that network traffic is greatly influenced by the user behavior, and that call blocking probability is generally higher in the case of a scale-free user network. It is also shown that the carried traffic intensity is practically limited not only by the network capacity but also by the scale-free properties of the user behavior. Copyright {\textcopyright} 2006 Watam Press.",

keywords = "Traffic analysis, telephone network, user network, scale-free network, call blocking",

author = "Yongxiang Xia and Tse, {Chi K.} and Lau, {Francis C. M.} and Tam, {Wai Man} and Xiuming Shan",

year = "2006",

month = jun,

language = "English",

volume = "13",

pages = "345--352",

journal = "Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms",

issn = "1492-8760",

publisher = "Watam Press",

number = "3-4",

}

TELEPHONE TRAFFIC ANALYSIS BASED ON SCALE-FREE USER NETWORK AND SCALE-FREE LOAD DISTRIBUTION. / Xia, Yongxiang; Tse, Chi K.; Lau, Francis C. M. et al.
In: Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, Vol. 13, No. 3-4, 06.2006, p. 345-352.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - TELEPHONE TRAFFIC ANALYSIS BASED ON SCALE-FREE USER NETWORK AND SCALE-FREE LOAD DISTRIBUTION

AU - Xia, Yongxiang

AU - Tse, Chi K.

AU - Lau, Francis C. M.

AU - Tam, Wai Man

AU - Shan, Xiuming

PY - 2006/6

Y1 - 2006/6

N2 - In this paper we analyze the traffic of telephone systems. Unlike classical traffic analysis where users are assumed to be connected uniformly, our proposed method employs a scale-free network to model the connectivity of telephone users. Furthermore, the probabilities for different users to make calls are different. This inequality is expressed by a scale-free traffic load distribution. We show that network traffic is greatly influenced by the user behavior, and that call blocking probability is generally higher in the case of a scale-free user network. It is also shown that the carried traffic intensity is practically limited not only by the network capacity but also by the scale-free properties of the user behavior. Copyright © 2006 Watam Press.

AB - In this paper we analyze the traffic of telephone systems. Unlike classical traffic analysis where users are assumed to be connected uniformly, our proposed method employs a scale-free network to model the connectivity of telephone users. Furthermore, the probabilities for different users to make calls are different. This inequality is expressed by a scale-free traffic load distribution. We show that network traffic is greatly influenced by the user behavior, and that call blocking probability is generally higher in the case of a scale-free user network. It is also shown that the carried traffic intensity is practically limited not only by the network capacity but also by the scale-free properties of the user behavior. Copyright © 2006 Watam Press.

KW - Traffic analysis

KW - telephone network

KW - user network

KW - scale-free network

KW - call blocking

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M3 - RGC 21 - Publication in refereed journal

SN - 1492-8760

VL - 13

SP - 345

EP - 352

JO - Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms

JF - Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms

IS - 3-4

ER -

TELEPHONE TRAFFIC ANALYSIS BASED ON SCALE-FREE USER NETWORK AND SCALE-FREE LOAD DISTRIBUTION

Abstract

Research Keywords

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