Self-similarity and heavy tails: structural modeling of network traffic

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Summary

This work demonstrates, in particular, how the proposed structural modeling approach provides a direct link between the observed self-similarity characteristic of measured aggregate network traac, and the strong empirical evidence in favor of heavy-tailed, innnite variance phenomena at the level of individual network connections.

Type
book
Published
1998-08-01
Cited by
427
References
27

Keywords

Self-similarity, Similarity (geometry), Statistical physics, Computer science, Artificial intelligence

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