Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10338967 | Computer Communications | 2005 | 12 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Allen B. Downey,