Classification of Load Balancing in the Internet

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

Classification of Load Balancing in the Internet

Almeida, R Cunha, I Teixeira, R Veitch, D

Diot, C

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020, 2020-July, pp. 1987-1996
Issue Date:: 2020-08-04

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Field	Value	Language
dc.contributor.author	Almeida, R
dc.contributor.author	Cunha, I
dc.contributor.author	Teixeira, R
dc.contributor.author	Veitch, D https://orcid.org/0000-0001-8163-3464
dc.contributor.author	Diot, C
dc.date	2020-07-06
dc.date.accessioned	2021-05-24T06:16:23Z
dc.date.available	2021-05-24T06:16:23Z
dc.date.issued	2020-08-04
dc.identifier.citation	IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020, 2020-July, pp. 1987-1996
dc.identifier.isbn	978-1-7281-6413-7
dc.identifier.issn	0743-166X
dc.identifier.issn	2641-9874
dc.identifier.uri	http://hdl.handle.net/10453/149150
dc.description.abstract	Recent advances in programmable data planes, software-defined networking, and the adoption of IPv6 support novel, more complex load balancing strategies. We introduce the Multipath Classification Algorithm (MCA), a probing algorithm that extends traceroute to identify and classify load balancing in Internet routes. MCA extends existing formalism and techniques to consider that load balancers may use arbitrary combinations of bits in the packet header for load balancing. We propose optimizations to reduce probing cost that are applicable to MCA and existing load balancing measurement techniques. Through large-scale measurement campaigns, we characterize and study the evolution of load balancing on the IPv4 and IPv6 Internet with multiple transport protocols. Our results show that load balancing is more prevalent and that load balancing strategies are more mature than previous characterizations have found.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
dc.relation.ispartof	IEEE Conference on Computer Communications
dc.relation.isbasedon	10.1109/infocom41043.2020.9155387
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Classification of Load Balancing in the Internet
dc.type	Conference Proceeding
utslib.citation.volume	2020-July
utslib.location.activity	Toronto, ON, Canada
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-05-24T06:16:22Z
pubs.finish-date	2020-07-09
pubs.publication-status	Published
pubs.start-date	2020-07-06
pubs.volume	2020-July

Abstract:

Recent advances in programmable data planes, software-defined networking, and the adoption of IPv6 support novel, more complex load balancing strategies. We introduce the Multipath Classification Algorithm (MCA), a probing algorithm that extends traceroute to identify and classify load balancing in Internet routes. MCA extends existing formalism and techniques to consider that load balancers may use arbitrary combinations of bits in the packet header for load balancing. We propose optimizations to reduce probing cost that are applicable to MCA and existing load balancing measurement techniques. Through large-scale measurement campaigns, we characterize and study the evolution of load balancing on the IPv4 and IPv6 Internet with multiple transport protocols. Our results show that load balancing is more prevalent and that load balancing strategies are more mature than previous characterizations have found.

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http://hdl.handle.net/10453/149150