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dc.contributor.author
Addanki, Vamsi
dc.contributor.author
Apostolaki, Maria
dc.contributor.author
Ghobadi, Manya
dc.contributor.author
Schmid, Stefan
dc.contributor.author
Vanbever, Laurent
dc.date.accessioned
2022-10-03T09:25:25Z
dc.date.available
2022-10-03T09:25:25Z
dc.date.issued
2022-08
dc.identifier.isbn
978-1-4503-9420-8
en_US
dc.identifier.other
10.1145/3544216.3544252
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/573968
dc.description.abstract
Today's network devices share buffer across queues to avoid drops during transient congestion and absorb bursts. As the buffer-per-bandwidth-unit in datacenter decreases, the need for optimal buffer utilization becomes more pressing. Typical devices use a hierarchical packet admission control scheme: First, a Buffer Management (BM) scheme decides the maximum length per queue at the device level and then an Active Queue Management (AQM) scheme decides which packets will be admitted at the queue level. Unfortunately, the lack of cooperation between the two control schemes leads to (i) harmful interference across queues, due to the lack of isolation; (ii) increased queueing delay, due to the obliviousness to the per-queue drain time; and (iii) thus unpredictable burst tolerance. To overcome these limitations, we propose ABM, Active Buffer Management which incorporates insights from both BM and AQM. Concretely, ABM accounts for both total buffer occupancy (typically used by BM) and queue drain time (typically used by AQM). We analytically prove that ABM provides isolation, bounded buffer drain time and achieves predictable burst tolerance without sacrificing throughput. We empirically find that ABM improves the 99th percentile FCT for short flows by up to 94% compared to the state-of-The-Art buffer management. We further show that ABM improves the performance of advanced datacenter transport protocols in terms of FCT by up to 76% compared to DCTCP, TIMELY and PowerTCP under bursty workloads even at moderate load conditions.
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
en_US
dc.subject
Datacenter
en_US
dc.subject
Shared Buffer
en_US
dc.subject
Buffer Management
en_US
dc.subject
Queue Management
en_US
dc.title
ABM: Active Buffer Management in Datacenters
en_US
dc.type
Conference Paper
dc.date.published
2022-08-22
ethz.book.title
SIGCOMM '22: Proceedings of the ACM SIGCOMM 2022 Conference
en_US
ethz.pages.start
36
en_US
ethz.pages.end
52
en_US
ethz.event
36th ACM SiGCOMM Conference (SIGCOMM 2022)
en_US
ethz.event.location
Amsterdam, Netherlands
en_US
ethz.event.date
August 22-26, 2022
en_US
ethz.notes
Conference lecture on August 23, 2022
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02640 - Inst. f. Technische Informatik und Komm. / Computer Eng. and Networks Lab.::09477 - Vanbever, Laurent / Vanbever, Laurent
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02640 - Inst. f. Technische Informatik und Komm. / Computer Eng. and Networks Lab.::09477 - Vanbever, Laurent / Vanbever, Laurent
en_US
ethz.date.deposited
2022-07-19T07:08:11Z
ethz.source
SCOPUS
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-10-03T09:25:31Z
ethz.rosetta.lastUpdated
2023-02-07T06:54:39Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/572977
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/558656
ethz.COinS
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