A truncated Pareto distribution

Authors:
M. Masoom Ali;Saralees Nadarajah
Affiliations:
Department of Mathematical Sciences, Ball State University, Muncie, IN 47306, USA;School of Mathematics, University of Manchester, Manchester M13 9PL, UK
Venue:
Computer Communications
Year:
2006

Citing 4
Cited 1

On the self-similar nature of Ethernet traffic (extended version)

IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling

IEEE/ACM Transactions on Networking (TON)
Heavy-tailed probability distributions in the World Wide Web

A practical guide to heavy tails
Computing Laplace Transforms for Numerical Inversion Via Continued Fractions

INFORMS Journal on Computing

Performance evaluation of a cognitive radio network with exponential and truncated usage models

ISWPC'09 Proceedings of the 4th international conference on Wireless pervasive computing

Quantified Score

Hi-index	0.24

Visualization

Abstract

Modeling problems in communication networks predominantly involve long-tailed distributions. These distributions, however, suffer from the weakness of not having finite moments of all orders and this weakness has restricted their use in communication networks. In this note, we introduce a truncated version of the Pareto distribution - the most commonly known long-tailed distribution - which possesses finite moments of all orders and could therefore be a better model for communication networks. Explicit expressions for the moments are derived for the truncated distribution.