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dc.contributor.authorPopescu, Diana
dc.contributor.authorMoore, Andrew
dc.date.accessioned2019-06-26T11:59:59Z
dc.date.available2019-06-26T11:59:59Z
dc.date.issued2015-12-04
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/294039
dc.description.abstractIn order to make measurement-based placement, an optimiser must make informed decisions. Currently, it is difficult to assign routes or assign resource commitments to network paths in data centers, as applications do not declare what is carried within each flow. We propose to provide insight into the traffic that traverses each network link, realizing a near real-time map of a data center’s network traffic. We present Omniscient, a system that aims to increase the visibility into the data center network traffic by computing link utilization broken down by application instance using OpenFlow stats in an SDN-enabled data center. The goal of the system is to inform application instance placement and redundant network path assignment in order to improve application performance and resource utilization.
dc.description.sponsorshipDiana Andreea Popescu is supported by the EU FP7 ITN METRICS (607728) project.
dc.languageEnglish
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.titleOmniscient: Towards realizing near real-time data center network traffic maps
dc.typeConference Object
prism.publicationDate2015
dc.identifier.doi10.17863/CAM.41142
dcterms.dateAccepted2015-10-15
rioxxterms.versionofrecord10.17863/CAM.41142
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2015-12-04
dc.contributor.orcidPopescu, Diana [0000-0002-2435-9603]
dc.contributor.orcidMoore, Andrew [0000-0002-5494-9305]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.conference-nameACM CoNEXT Student Workshop 2015
pubs.conference-start-date2015-12-01
pubs.conference-finish-date2015-12-04


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