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. We 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.
This work was partially supported by the European Commission within the IST ATRIUM project.
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Uhlig, S., Bonaventure, O. (2001). Understanding the Long-Term Self-Similarity of Internet Traffic. In: Smirnov, M.I., Crowcroft, J., Roberts, J., Boavida, F. (eds) Quality of Future Internet Services. QofIS 2001. Lecture Notes in Computer Science, vol 2156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45412-8_20
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DOI: https://doi.org/10.1007/3-540-45412-8_20
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