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Journal ArticleDOI

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

Mark Crovella, +1 more
- Vol. 24, Iss: 1, pp 160-169
TLDR
It is shown that the self-similarity in WWW 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.
Abstract
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network traffic. In this paper we examine the mechanisms that give rise to the self-similarity of network traffic. We present a hypothesized explanation for the possible self-similarity of traffic by using a particular subset of wide area traffic: traffic due to the World Wide Web (WWW). Using an extensive set of traces of actual user executions of NCSA Mosaic, reflecting over half a million requests for WWW documents, we examine the dependence structure of WWW traffic. While our measurements are not conclusive, 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 our traces and from data independently collected at over thirty WWW sites.

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Citations
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Journal ArticleDOI

Power laws, Pareto distributions and Zipf's law

Mark Newman
- 01 Sep 2005 - 
TL;DR: Some of the empirical evidence for the existence of power-law forms and the theories proposed to explain them are reviewed.
Journal ArticleDOI

On power-law relationships of the Internet topology

TL;DR: Despite the apparent randomness of the Internet, some surprisingly simple power-laws of theInternet topology are discovered, which hold for three snapshots of the internet.
Journal ArticleDOI

The origin of bursts and heavy tails in human dynamics

TL;DR: It is shown that the bursty nature of human behaviour is a consequence of a decision-based queuing process: when individuals execute tasks based on some perceived priority, the timing of the tasks will be heavy tailed, with most tasks being rapidly executed, whereas a few experience very long waiting times.
Proceedings ArticleDOI

I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

TL;DR: In this article, the authors analyzed YouTube, the world's largest UGC VoD system, and provided an in-depth study of the popularity life cycle of videos, intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content.
Proceedings ArticleDOI

Generating representative Web workloads for network and server performance evaluation

TL;DR: This paper applies a number of observations of Web server usage to create a realistic Web workload generation tool which mimics a set of real users accessing a server and addresses the technical challenges to satisfying this large set of simultaneous constraints on the properties of the reference stream.
References
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Book

The Fractal Geometry of Nature

TL;DR: This book is a blend of erudition, popularization, and exposition, and the illustrations include many superb examples of computer graphics that are works of art in their own right.
Journal ArticleDOI

On the self-similar nature of Ethernet traffic (extended version)

TL;DR: It is demonstrated that Ethernet LAN traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal-like behavior, and that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based networks.
Book

Time Series: Theory and Methods

TL;DR: In this article, the mean and autocovariance functions of ARIMA models are estimated for multivariate time series and state-space models, and the spectral representation of the spectrum of a Stationary Process is inferred.
Journal ArticleDOI

Wide area traffic: the failure of Poisson modeling

TL;DR: It is found that user-initiated TCP session arrivals, such as remote-login and file-transfer, are well-modeled as Poisson processes with fixed hourly rates, but that other connection arrivals deviate considerably from Poisson.
Book

Statistics for long-memory processes

TL;DR: Theorems of Stationary Processes with Long Memory Limit Theorems and Estimations of Long Memory-Heuristic Approaches, Forecasting Regression Goodness of Fit Tests, and Robust Estimation of Long memory estimates are presented.
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