Understanding the long-term self-similarity of Internet traffic

Steve Uhlig, Olivier Bonaventure

Research output: Contribution in Book/Catalog/Report/Conference proceedingChapter

Abstract

This paper analyzes the characteristics of Internet traffic by studying a six days long trace of the entire interdomain traffic received by an ISP. Our study shows that this traffic is self-similar at timescales spanning minutes to hours. We show that this self-similarity could be explained by two factors. First, the traffic volume from each external source exhibits a heavy-tailed distribution. Second, the number of these external sources is also self-similar. Finally, we show that self-similar traffic can be simulated by users transferring exponentially distributed traffic provided that the number of users is self-similar.
Original languageEnglish
Title of host publicationQuality of Future Internet Services 2001
Publication statusUnpublished - 2001

Keywords

  • Traffic Engineering

Fingerprint

Dive into the research topics of 'Understanding the long-term self-similarity of Internet traffic'. Together they form a unique fingerprint.

Cite this