Understanding the Long-Term Self-Similarity of Internet Traffic

  • Authors:
  • Steve Uhlig;Olivier Bonaventure

  • Affiliations:
  • -;-

  • Venue:
  • COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
  • Year:
  • 2001

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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 time-scales spanning minutes to hours.W e show that this self-similarity could be explained by two factors.First, the traffic volume received 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.