Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
Self-similarity and heavy tails: structural modeling of network traffic
A practical guide to heavy tails
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
On the relationship between file sizes, transport protocols, and self-similar network traffic
On the relationship between file sizes, transport protocols, and self-similar network traffic
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In this paper, we characterize the superposition of TCP sessions and we study the influence of transmission parameters on traffic burstiness. Particularly, we show the relation between TCP traffic characteristics and the loss rate observed on transmission links. Then we propose aggregate traffic model for TCP sessions allowing faster execution while preserving TCP sessions dynamic behavior. The results show that our aggregate TCP session model is suitable when activity periods are very short compared to idle periods. In particular, this is true in wireless networks