Probabilistic envelope processes for α-stable self-similar traffic models and their application to resource provisioning

Authors:
Miguel Lopez-Guerrero;Luis Orozco-Barbosa;Dimitrios Makrakis
Affiliations:
University of Ottawa, 161 Louis Pasteur, P.O. Box 450, Stn A. Ottawa, ON, Canada KIN 6N5;University of Ottawa, 161 Louis Pasteur, P.O. Box 450, Stn A. Ottawa, ON, Canada KIN 6N5;University of Ottawa, 161 Louis Pasteur, P.O. Box 450, Stn A. Ottawa, ON, Canada KIN 6N5
Venue:
Performance Evaluation - Long range dependence and heavy tail distributions
Year:
2005

Citing 9
Cited 2

Signal processing with alpha-stable distributions and applications

Signal processing with alpha-stable distributions and applications
Broadband integrated networks

Broadband integrated networks
Use of &agr;-stable self-similar stochastic processes for modeling traffic in broadband networks

Performance Evaluation - Special issue on performance and control of network systems
Modelling the self-similar behaviour of network traffic

Computer Networks: The International Journal of Computer and Telecommunications Networking - Special Issue: performance modeling and evaluation of ATM networks
On the equivalent bandwidth of self-similar sources

ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
A recursive estimator of worst-case burstiness

IEEE/ACM Transactions on Networking (TON)
On the characterization of impulsive noise with /spl alpha/-stable distributions using Fourier techniques

ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
The estimation of stable distribution parameters from teletrafficdata

IEEE Transactions on Signal Processing
Token bucket characterization of long-range dependent traffic

Computer Communications

Non-asymptotic delay bounds for networks with heavy-tailed traffic

INFOCOM'10 Proceedings of the 29th conference on Information communications
Dynamic quality of service support in virtual private networks

WEA'05 Proceedings of the 4th international conference on Experimental and Efficient Algorithms

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recent experimental studies have shown that @a-stable self-similar stochastic processes can accurately characterize various types of aggregate network traffic. Using this traffic modeling approach, we propose some probabilistic envelope processes that can be used to represent the resource demand of a traffic stream in performance evaluation studies. We illustrate the use of the proposed envelopes in resource allocation for data and video traffic and in the design of an admission control mechanism. From our analysis we conclude that the presence of heavy tails in the distribution of a traffic process has a severe impact on the dimensioning of network elements.