Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/70807
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Type: Journal article
Title: The internet topology zoo
Author: Knight, S.
Nguyen, H.
Falkner, N.
Bowden, R.
Roughan, M.
Citation: IEEE Journal on Selected Areas in Communications, 2011; 29(9):1765-1775
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2011
ISSN: 0733-8716
1558-0008
Statement of
Responsibility: 
Simon Knight, Hung X. Nguyen, Nickolas Falkner, Rhys Bowden and Matthew Roughan
Abstract: The study of network topology has attracted a great deal of attention in the last decade, but has been hampered by a lack of accurate data. Existing methods for measuring topology have flaws, and arguments about the importance of these have overshadowed the more interesting questions about network structure. The Internet Topology Zoo is a store of network data created from the information that network operators make public. As such it is the most accurate large-scale collection of network topologies available, and includes meta-data that couldn’t have been measured. With this data we can answer questions about network structure with more certainty than ever before — we illustrate its power through a preliminary analysis of the PoP-level topology of over 140 networks. We find a wide range of network designs not conforming as a whole to any obvious model.
Keywords: Network topology; graph theory; graph format
Rights: © 2011 IEEE
RMID: 0020112978
DOI: 10.1109/JSAC.2011.111002
Grant ID: http://purl.org/au-research/grants/arc/DP0985063
http://purl.org/au-research/grants/arc/DP110103505
Appears in Collections:Electrical and Electronic Engineering publications

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