Cited by 2,731Network Traffic and Congestion ControlInternet Traffic Analysis and Secure E-votingComplex Systems and Time Series Analysis

Self-similarity in World Wide Web traffic: evidence and possible causes

Crovella, M.E., Bestavros, A.·1997·IEEE/ACM Transactions on Networking

Abstract

The notion of self-similarity has been shown to apply to wide-area and local-area network traffic. We show evidence that the subset of network traffic that is due to World Wide Web (WWW) transfers can show characteristics that are consistent with self-similarity, and we present a hypothesized explanation for that self-similarity. Using a set of traces of actual user executions of NCSA Mosaic, we examine the dependence structure of WWW traffic. First, we show evidence that WWW traffic exhibits behavior that is consistent with self-similar traffic models. Then we show that the self-similarity in such traffic can be explained based on the underlying distributions of WWW document sizes, the effects of caching and user preference in file transfer, the effect of user "think time", and the superimposition of many such transfers in a local-area network. To do this, we rely on empirically measured distributions both from client traces and from data independently collected at WWW servers.

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Authors
Crovella, M. E., & Bestavros, A.
Affiliations
Boston University (US)
Venue
IEEE/ACM Transactions on Networking
Published
1997
Volume
5
Issue
6
Pages
835-846
ISSN
1063-6692 (ISSN-L)
OpenAlex
W2138543759
Cited by
2,731
References
0
Citations by year
2026: 18 · 2025: 12 · 2024: 12 · 2023: 20 · 2022: 20 · 2021: 26 · 2020: 37 · 2019: 37 · 2018: 43 · 2017: 60 · 2016: 55 · 2015: 61 · 2014: 81 · 2013: 93 · 2012: 98
FWCI
91.15
Type
journal article
Language
en
Open access
closed
Locations
IEEE/ACM Transactions on Networking (publishedVersion)
Funders
University at Buffalo
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
  • Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
Keywords
self-similarity, long-range dependence, network traffic modeling, caching, user preferences

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