Probing for loss: The case against probe trains

Baccelli, F; MacHiraju, S; Veitch, D; Bolot, J

Probing for loss: The case against probe trains

Baccelli, F MacHiraju, S Veitch, D

Bolot, J

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Publication Type:: Journal Article
Citation:: IEEE Communications Letters, 2011, 15 (5), pp. 590 - 592
Issue Date:: 2011-05-01

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Field	Value	Language
dc.contributor.author	Baccelli, F	en_US
dc.contributor.author	MacHiraju, S	en_US
dc.contributor.author	Veitch, D https://orcid.org/0000-0001-8163-3464	en_US
dc.contributor.author	Bolot, J	en_US
dc.date.issued	2011-05-01	en_US
dc.identifier.citation	IEEE Communications Letters, 2011, 15 (5), pp. 590 - 592	en_US
dc.identifier.issn	1089-7798	en_US
dc.identifier.uri	http://hdl.handle.net/10453/113142
dc.description.abstract	We assess the bias and variance of active probing measurement techniques for loss in networks. We show that loss probability is best measured using isolated probes rather than with probe 'trains', which contrasts with prior work which found that probe trains better estimate statistics of lossy periods. © 2006 IEEE.	en_US
dc.relation.ispartof	IEEE Communications Letters	en_US
dc.relation.isbasedon	10.1109/LCOMM.2011.030911.101495	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Probing for loss: The case against probe trains	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	15	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	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

We assess the bias and variance of active probing measurement techniques for loss in networks. We show that loss probability is best measured using isolated probes rather than with probe 'trains', which contrasts with prior work which found that probe trains better estimate statistics of lossy periods. © 2006 IEEE.

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http://hdl.handle.net/10453/113142