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IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
New models for pseudo self-similar traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
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A practical guide to heavy tails
On estimating the intensity of long-range dependence in finite and infinite variance time series
A practical guide to heavy tails
Why non-linearities can ruin the heavy-tailed modeler's day
A practical guide to heavy tails
On the Cost of Using MPLS for Interdomain Traffic
QofIS '00 Proceedings of the First COST 263 International Workshop on Quality of Future Internet Services
On the relationship between file sizes, transport protocols, and self-similar network traffic
ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
An empirical comparison of generators for self similar simulated traffic
Performance Evaluation
A Solution to Resource Underutilization for Web Services Hosted in the Cloud
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part I
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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.