Lognormal and Pareto distributions in the Internet

Numerous studies have reported long-tailed distributions for various network metrics, including file sizes, transfer times, and burst lengths. We review techniques for identifying long-tailed distributions based on a sample, propose a new technique, and apply these methods to datasets used in previo...

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Veröffentlicht in:Computer communications 2005-05, Vol.28 (7), p.790-801
1. Verfasser: Downey, Allen B.
Format: Artikel
Sprache:eng
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Zusammenfassung:Numerous studies have reported long-tailed distributions for various network metrics, including file sizes, transfer times, and burst lengths. We review techniques for identifying long-tailed distributions based on a sample, propose a new technique, and apply these methods to datasets used in previous reports. We find that the evidence for long tails is inconsistent, and that lognormal and other non-long-tailed models are usually sufficient to characterize network metrics. We discuss the implications of this result for current explanations of self-similarity in network traffic.
ISSN:0140-3664
1873-703X
DOI:10.1016/j.comcom.2004.11.001