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dc.contributor.authorXiong, Z
dc.contributor.authorZilberman, N
dc.date.accessioned2019-10-29T00:30:39Z
dc.date.available2019-10-29T00:30:39Z
dc.date.issued2019-11-14
dc.identifier.isbn9781450370202
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/298114
dc.description.abstractMachine learning is currently driving a technological and societal revolution. While programmable switches have been proven to be useful for in-network computing, machine learning within programmable switches had little success so far. Not using network devices for machine learning has a high toll, given the known power efficiency and performance benefits of processing within the network. In this paper, we explore the potential use of commodity programmable switches for in-network classification, by mapping trained machine learning models to match-action pipelines. We introduce IIsy, a software and hardware based prototype of our approach, and discuss the suitability of mapping to different targets. Our solution can be generalized to additional machine learning algorithms, using the methods presented in this work.
dc.publisherACM
dc.rightsAll rights reserved
dc.titleDo switches dream of machine learning?: Toward in-network classification
dc.typeConference Object
prism.endingPage33
prism.publicationDate2019
prism.publicationNameHotNets 2019 - Proceedings of the 18th ACM Workshop on Hot Topics in Networks
prism.startingPage25
dc.identifier.doi10.17863/CAM.45171
dcterms.dateAccepted2019-09-14
rioxxterms.versionofrecord10.1145/3365609.3365864
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-11-13
dc.contributor.orcidZilberman, Noa [0000-0002-3655-2873]
dc.publisher.urlhttps://doi.org/10.1145/3365609
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idLeverhulme Trust (ECF-2016-289)
pubs.funder-project-idIsaac Newton Trust (1608(as))
cam.issuedOnline2019-11-14
pubs.conference-nameHotNets '19: The 18th ACM Workshop on Hot Topics in Networks
pubs.conference-start-date2019-11-14
cam.orpheus.successThu Nov 05 11:54:58 GMT 2020 - Embargo updated
rioxxterms.freetoread.startdate2020-11-13


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