OFSS: Skampling for the flow size distribution

Tune, P; Veitch, D

OFSS: Skampling for the flow size distribution

Tune, P Veitch, D

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC, 2014, pp. 235 - 240
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Tune, P	en_US
dc.contributor.author	Veitch, D https://orcid.org/0000-0001-8163-3464	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC, 2014, pp. 235 - 240	en_US
dc.identifier.isbn	9781450332132	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121346
dc.description.abstract	Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM). We introduce a new method for ow size estimation, the Op- Timised Flow Sampled Sketch, which combines the optimal properties of Flow Sampling with the computational advan- Tages of a counter array sketch. Using Fisher Information as a definitive basis of comparison, we show that it is superior to alternatives in both model and traffic based comparisons.	en_US
dc.relation.ispartof	Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC	en_US
dc.relation.isbasedon	10.1145/2663716.2663732	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	OFSS: Skampling for the flow size distribution	en_US
dc.type	Conference Proceeding
utslib.for	1005 Communications Technologies	en_US
utslib.for	0805 Distributed Computing	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.publication-status	Published	en_US

Abstract:

Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM). We introduce a new method for ow size estimation, the Op- Timised Flow Sampled Sketch, which combines the optimal properties of Flow Sampling with the computational advan- Tages of a counter array sketch. Using Fisher Information as a definitive basis of comparison, we show that it is superior to alternatives in both model and traffic based comparisons.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/121346