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dc.contributor.authorSabek, Ibrahim
dc.contributor.authorUkyab, Tenzin
dc.contributor.authorKraska, Tim
dc.date.accessioned2022-11-04T18:22:42Z
dc.date.available2022-11-04T18:22:42Z
dc.date.issued2022-06-10
dc.identifier.isbn978-1-4503-9249-5
dc.identifier.urihttps://hdl.handle.net/1721.1/146164
dc.publisherACM|Proceedings of the 2022 International Conference on Management of Dataen_US
dc.relation.isversionofhttps://doi.org/10.1145/3514221.3526158en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|Proceedings of the 2022 International Conference on Management of Dataen_US
dc.titleLSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systemsen_US
dc.typeArticleen_US
dc.identifier.citationSabek, Ibrahim, Ukyab, Tenzin and Kraska, Tim. 2022. "LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T00:20:32Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T00:20:32Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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