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What is Self-Similarity

Encyclopedia of Internet Technologies and Applications
A process is said to be self-similar if its behavior is roughly the same across different spacial or time scales.
Published in Chapter:
Internet Measurements
Artur Ziviani (National Laboratory for Scientific Computing (LNCC), Brazil)
Copyright: © 2008 |Pages: 7
DOI: 10.4018/978-1-59140-993-9.ch034
Abstract
In the mid 90’s, the Internet has started its metamorphosis from a tool restricted to the scientific community into a crucial component of the modern information society. The evolution in the last 15 years from 2,000 to 180,000 active BGP (Border Gateway Protocol) entries as of March 2006 (Smith, 2006) witnesses this metamorphosis and is an indication on how complex Internet has become. Possibly, the most significant consequence of the huge success of the Internet is that the common goal and collaborative spirit that used to guide its players no longer holds because of the large diversity we find in today’s Internet. Users, commercial access providers, governments, telecommunication operators, and content providers usually have opposite interests in using the network, commonly leading to a situation where they co-exist in a tussle (Clark, Wroclawski, Sollins, & Braden, 2002). For instance, large network operators need to be interconnected to obtain and offer universal connectivity, even if they are often fierce competitors. As a result, the heterogeneity and fully distributed administration of the Internet, allied to its extensive geographic coverage and to its dynamism in applications and network traffic, impose great challenges to the characterization of the structure and behavior of the Internet as a whole (Floyd & Paxson, 2001; Spring, Wetherall, & Anderson, 2003a).
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More Results
Performance Measurement of Computer Networks
Traffic invariant commonly observed in computer networks. Common applications, such as WWW, e-mail or FTP exhibit self-similar traffic patterns. Self-similarity implies that a change of the time scale is equivalent to a change in state space scale. For discrete processes, self-similarity can be described as distributional invariance upon aggregation and scaling.
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Scaling Properties of Network Traffic
When applied to stochastic processes, it indicates that the process follows the same distribution on all time scales.
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