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dc.contributor.authorNagaraj, Kanthi
dc.contributor.authorChinchali, Sandeep
dc.contributor.authorBharadia, Dinesh
dc.contributor.authorMao, Hongzi
dc.contributor.authorAlizadeh Attar, Mohammadreza
dc.contributor.authorKatti, Sachin Rajsekhar
dc.date.accessioned2017-07-18T16:55:26Z
dc.date.available2017-07-18T16:55:26Z
dc.date.issued2016-08
dc.identifier.isbn9781450341936
dc.identifier.urihttp://hdl.handle.net/1721.1/110765
dc.description.abstractWe present xFabric, a novel datacenter transport design that provides flexible and fast bandwidth allocation control. xFabric is flexible: it enables operators to specify how bandwidth is allocated amongst contending flows to optimize for different service-level objectives such as minimizing flow completion times, weighted allocations, different notions of fairness, etc. xFabric is also very fast, it converges to the specified allocation one-to-two order of magnitudes faster than prior schemes. Underlying xFabric, is a novel distributed algorithm that uses in-network packet scheduling to rapidly solve general network utility maximization problems for bandwidth allocation. We evaluate xFabric using realistic datacenter topologies and highly dynamic workloads and show that it is able to provide flexibility and fast convergence in such stressful environments.en_US
dc.description.sponsorshipGoogle Faculty Research Awarden_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2934872.2934890en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther univ. web domainen_US
dc.titleNUMFabric: Fast and Flexible Bandwidth Allocation in Datacentersen_US
dc.typeArticleen_US
dc.identifier.citationNagaraj, Kanthi, Dinesh Bharadia, Hongzi Mao, Sandeep Chinchali, Mohammad Alizadeh, and Sachin Katti. “NUMFabric.” Proceedings of the 2016 Conference on ACM SIGCOMM 2016 Conference - SIGCOMM ’16 (2016).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorBharadia, Dinesh
dc.contributor.mitauthorMao, Hongzi
dc.contributor.mitauthorAlizadeh Attar, Mohammadreza
dc.contributor.mitauthorKatti, Sachin Rajsekhar
dc.relation.journalProceedings of the 2016 conference on ACM SIGCOMM 2016 Conference - SIGCOMM '16en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsNagaraj, Kanthi; Bharadia, Dinesh; Mao, Hongzi; Chinchali, Sandeep; Alizadeh, Mohammad; Katti, Sachinen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1813-4456
dc.identifier.orcidhttps://orcid.org/0000-0002-0014-6742
mit.licenseOPEN_ACCESS_POLICYen_US


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