Share Email Print

Proceedings Paper

Modeling network traffic with the extreme value theory
Author(s): Jiakun Liu; Yantai Shu; Oliver W. W. Yang; Deyun Gao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper introduced the Extreme Value Theory (EVT) for analysis of network traffic. The role of EVT is to allow the development of procedures that are scientifically and statistically rational to estimate the extreme behavior of random processes. In this paper, we propose an EVT_based procedure to fit a model to the traffic trace. We have performed some simulation experiments on real-traffic traces such as video data to study the feasibility of our proposed method. Our experiments showed that the EVT method can be applied to statistical analysis of real traffic. Furthermore, since only the data greater than the threshold are processed, the computation overhead is reduced greatly. It indicates that EVT method could be applied to real time network control.

Paper Details

Date Published: 8 August 2003
PDF: 8 pages
Proc. SPIE 5244, Performance and Control of Next-Generation Communications Networks, (8 August 2003); doi: 10.1117/12.510639
Show Author Affiliations
Jiakun Liu, Tianjin Univ. (China)
Yantai Shu, Tianjin Univ. (China)
Oliver W. W. Yang, Univ. of Ottawa (Canada)
Deyun Gao, Hong Kong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 5244:
Performance and Control of Next-Generation Communications Networks
Robert D. van der Mei; Frank Huebner, Editor(s)

© SPIE. Terms of Use
Back to Top