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dc.contributor.authorSkiadopoulos, Athinagoras
dc.contributor.authorLi, Qian
dc.contributor.authorKraft, Peter
dc.contributor.authorKaffes, Kostis
dc.contributor.authorHong, Daniel
dc.contributor.authorMathew, Shana
dc.contributor.authorBestor, David
dc.contributor.authorCafarella, Michael
dc.contributor.authorGadepally, Vijay
dc.contributor.authorGraefe, Goetz
dc.contributor.authorKepner, Jeremy
dc.contributor.authorKozyrakis, Christos
dc.contributor.authorKraska, Tim
dc.contributor.authorStonebraker, Michael
dc.contributor.authorSuresh, Lalith
dc.contributor.authorZaharia, Matei
dc.date.accessioned2022-07-14T13:57:49Z
dc.date.available2022-07-14T13:57:49Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143731
dc.description.abstract<jats:p>This paper lays out the rationale for building a completely new operating system (OS) stack. Rather than build on a single node OS together with separate cluster schedulers, distributed filesystems, and network managers, we argue that a distributed transactional DBMS should be the basis for a scalable cluster OS. We show herein that such a database OS (DBOS) can do scheduling, file management, and inter-process communication with competitive performance to existing systems. In addition, significantly better analytics can be provided as well as a dramatic reduction in code complexity through implementing OS services as standard database queries, while implementing low-latency transactions and high availability only once.</jats:p>en_US
dc.language.isoen
dc.publisherVLDB Endowmenten_US
dc.relation.isversionof10.14778/3485450.3485454en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceVLDB Endowmenten_US
dc.titleDBOS: a DBMS-oriented operating systemen_US
dc.typeArticleen_US
dc.identifier.citationSkiadopoulos, Athinagoras, Li, Qian, Kraft, Peter, Kaffes, Kostis, Hong, Daniel et al. 2021. "DBOS: a DBMS-oriented operating system." Proceedings of the VLDB Endowment, 15 (1).
dc.contributor.departmentLincoln Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalProceedings of the VLDB Endowmenten_US
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.updated2022-07-14T13:52:39Z
dspace.orderedauthorsSkiadopoulos, A; Li, Q; Kraft, P; Kaffes, K; Hong, D; Mathew, S; Bestor, D; Cafarella, M; Gadepally, V; Graefe, G; Kepner, J; Kozyrakis, C; Kraska, T; Stonebraker, M; Suresh, L; Zaharia, Men_US
dspace.date.submission2022-07-14T13:52:41Z
mit.journal.volume15en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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