A comparative study of the statistical methods suitable for network traffic estimation

Authors:
Iarina Marian;Vasile Dadarlat;Bogdan Iancu
Affiliations:
Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
Venue:
ICCOM Proceedings of the 13th WSEAS international conference on Communications
Year:
2009

Citing 6
Cited 0

Stochastic modeling of traffic processes

Frontiers in queueing
Generalized autoregressive moving average modeling of the Bellcore data

LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
Optimizing cost and performance for multihoming

Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Neural networks based variable bit rate traffic prediction for traffic control using multiple leaky bucket

Journal of High Speed Networks
Passive and accurate traffic load estimation for infrastructure-mode wireless lan

Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
A new path selection algorithm for MPLS networks based on available bandwidth estimation

QofIS'02/ICQT'02 Proceedings of the 3rd international conference on quality of future internet services and internet charging and QoS technologies 2nd international conference on From QoS provisioning to QoS charging

Quantified Score

Hi-index	0.00

Visualization

Abstract

Predicting network traffic has a great importance for many real time and non-real time applications, for planning the network resources and for traffic matrix computations. In this paper several estimation methods for IP network traffic are studied. Methods for both Short-Range Dependence (SRD) and Long-Range Dependence (LRD) characteristics are presented, and also offline and online prediction algorithms are described with their advantages and disadvantages and suitable practical applications.