Temporal comparisons of Internet topology

Approved for public release; distribution is unlimited === Network science and its many applications provide insight into several genres, including biological, neural, logistical and technical problems. The study of complex networks extends to the Internet as well, merging graph theoretical concepts...

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Main Author: Wright, Jamar E.
Other Authors: Gera, Ralucca
Published: Monterey, California: Naval Postgraduate School 2014
Online Access:http://hdl.handle.net/10945/42757
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-427572014-11-27T16:19:56Z Temporal comparisons of Internet topology Wright, Jamar E. Gera, Ralucca Beverly, Robert Applied Mathematics Approved for public release; distribution is unlimited Network science and its many applications provide insight into several genres, including biological, neural, logistical and technical problems. The study of complex networks extends to the Internet as well, merging graph theoretical concepts with those of computer science in an effort to perform Internet topology measurements, ultimately contributing to inferred Internet mapping. In this research, we examine whether the time of day is a factor when measuring Internet topology. In doing so, we employ graph measures, statistical measures, and complex network measures to compare graphs inferred from probes of the Internet via network monitors. Using comparisons of these measures, we did not find indication that time was a factor for the seven probing cycles examined in this study. 2014-08-13T20:18:06Z 2014-08-13T20:18:06Z 2014-06 Thesis http://hdl.handle.net/10945/42757 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. Monterey, California: Naval Postgraduate School
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sources NDLTD
description Approved for public release; distribution is unlimited === Network science and its many applications provide insight into several genres, including biological, neural, logistical and technical problems. The study of complex networks extends to the Internet as well, merging graph theoretical concepts with those of computer science in an effort to perform Internet topology measurements, ultimately contributing to inferred Internet mapping. In this research, we examine whether the time of day is a factor when measuring Internet topology. In doing so, we employ graph measures, statistical measures, and complex network measures to compare graphs inferred from probes of the Internet via network monitors. Using comparisons of these measures, we did not find indication that time was a factor for the seven probing cycles examined in this study.
author2 Gera, Ralucca
author_facet Gera, Ralucca
Wright, Jamar E.
author Wright, Jamar E.
spellingShingle Wright, Jamar E.
Temporal comparisons of Internet topology
author_sort Wright, Jamar E.
title Temporal comparisons of Internet topology
title_short Temporal comparisons of Internet topology
title_full Temporal comparisons of Internet topology
title_fullStr Temporal comparisons of Internet topology
title_full_unstemmed Temporal comparisons of Internet topology
title_sort temporal comparisons of internet topology
publisher Monterey, California: Naval Postgraduate School
publishDate 2014
url http://hdl.handle.net/10945/42757
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