DTRACK: A system to predict and track internet path changes

Cunha, I; Teixeira, R; Veitch, D; Diot, C

DTRACK: A system to predict and track internet path changes

Cunha, I Teixeira, R Veitch, D

Diot, C

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Publication Type:: Journal Article
Citation:: IEEE/ACM Transactions on Networking, 2014, 22 (4), pp. 1025 - 1038
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Cunha, I	en_US
dc.contributor.author	Teixeira, R	en_US
dc.contributor.author	Veitch, D https://orcid.org/0000-0001-8163-3464	en_US
dc.contributor.author	Diot, C	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	IEEE/ACM Transactions on Networking, 2014, 22 (4), pp. 1025 - 1038	en_US
dc.identifier.issn	1063-6692	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115937
dc.description.abstract	In this paper, we implement and evaluate a system that predicts and tracks Internet path changes to maintain an up-to-date network topology. Based on empirical observations, we claim that monitors can enhance probing according to the likelihood of path changes. We design a simple predictor of path changes and show that it can be used to enhance probe targeting. Our path tracking system, called dtrack, focuses probes on unstable paths and spreads probes over time to minimize the chances of missing path changes. Our evaluations of dtrack with trace-driven simulations and with a prototype show that dtrack can detect up to three times more path changes than traditional traceroute-based topology mapping techniques. © 1993-2012 IEEE.	en_US
dc.relation.ispartof	IEEE/ACM Transactions on Networking	en_US
dc.relation.isbasedon	10.1109/TNET.2013.2269837	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	DTRACK: A system to predict and track internet path changes	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	22	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	22	en_US

Abstract:

In this paper, we implement and evaluate a system that predicts and tracks Internet path changes to maintain an up-to-date network topology. Based on empirical observations, we claim that monitors can enhance probing according to the likelihood of path changes. We design a simple predictor of path changes and show that it can be used to enhance probe targeting. Our path tracking system, called dtrack, focuses probes on unstable paths and spreads probes over time to minimize the chances of missing path changes. Our evaluations of dtrack with trace-driven simulations and with a prototype show that dtrack can detect up to three times more path changes than traditional traceroute-based topology mapping techniques. © 1993-2012 IEEE.

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http://hdl.handle.net/10453/115937