Geo-LPM: An efficient scheme for locating nodes in the Internet

Le, H; Hoang, D; Simmonds, A

Geo-LPM: An efficient scheme for locating nodes in the Internet

Le, H Hoang, D

Simmonds, A

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Publication Type:: Journal Article
Citation:: Telecommunications Journal of Australia, 2005, 55 (1)
Issue Date:: 2005-09-01

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Field	Value	Language
dc.contributor.author	Le, H	en_US
dc.contributor.author	Hoang, D https://orcid.org/0000-0003-1798-4926	en_US
dc.contributor.author	Simmonds, A	en_US
dc.date.issued	2005-09-01	en_US
dc.identifier.citation	Telecommunications Journal of Australia, 2005, 55 (1)	en_US
dc.identifier.issn	0040-2486	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6189
dc.description.abstract	One of the major weaknesses of existing peer-to-peer networks is that their overlay structures do not reflect the underlying Internet topology, resulting in unnecessary consumption of network resources. We propose a Geographical Longest Prefix Matching (Geo-LPM) scheme to self-organise nodes into clusters using IP prefixes and network metric measurements. Geo-LPM efficiently locates nodes to produce superior overlays while optimising the usage of network resources. It is simple, scalable and self-organising.	en_US
dc.relation.ispartof	Telecommunications Journal of Australia	en_US
dc.title	Geo-LPM: An efficient scheme for locating nodes in the Internet	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	55	en_US
utslib.for	100503 Computer Communications Networks	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	1801 Law	en_US
utslib.for	2001 Communication and Media Studies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	55	en_US

Abstract:

One of the major weaknesses of existing peer-to-peer networks is that their overlay structures do not reflect the underlying Internet topology, resulting in unnecessary consumption of network resources. We propose a Geographical Longest Prefix Matching (Geo-LPM) scheme to self-organise nodes into clusters using IP prefixes and network metric measurements. Geo-LPM efficiently locates nodes to produce superior overlays while optimising the usage of network resources. It is simple, scalable and self-organising.

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http://hdl.handle.net/10453/6189