Modeling network traffic with the extreme value theory

Jiakun Liu; Yantai Shu; Oliver W. W. Yang; Deyun Gao

doi:10.1117/12.510639

8 August 2003 Modeling network traffic with the extreme value theory

Jiakun Liu, Yantai Shu, Oliver W. W. Yang, Deyun Gao

Proceedings Volume 5244, Performance and Control of Next-Generation Communications Networks; (2003) https://doi.org/10.1117/12.510639
Event: ITCom 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Jiakun Liu, Yantai Shu, Oliver W. W. Yang, and Deyun Gao "Modeling network traffic with the extreme value theory", Proc. SPIE 5244, Performance and Control of Next-Generation Communications Networks, (8 August 2003); https://doi.org/10.1117/12.510639

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