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dc.contributor.authorCurino, Carlo
dc.contributor.authorJones, Evan Philip Charles
dc.contributor.authorPopa, Raluca Ada
dc.contributor.authorMalviya, Nirmesh
dc.contributor.authorWu, Eugene
dc.contributor.authorMadden, Samuel R.
dc.contributor.authorBalakrishnan, Hari
dc.contributor.authorZeldovich, Nickolai
dc.date.accessioned2011-04-19T20:03:30Z
dc.date.available2011-04-19T20:03:30Z
dc.date.issued2011-01
dc.identifier.urihttp://hdl.handle.net/1721.1/62241
dc.descriptionCIDR11_Mao.pptx for Slidesen_US
dc.description.abstractThis paper introduces a new transactional “database-as-a-service” (DBaaS) called Relational Cloud. A DBaaS promises to move much of the operational burden of provisioning, configuration, scaling, performance tuning, backup, privacy, and access control from the database users to the service operator, offering lower overall costs to users. Early DBaaS efforts include Amazon RDS and Microsoft SQL Azure, which are promising in terms of establishing the market need for such a service, but which do not address three important challenges: efficient multi-tenancy, elastic scalability, and database privacy. We argue that these three challenges must be overcome before outsourcing database software and management becomes attractive to many users, and cost-effective for service providers. The key technical features of Relational Cloud include: (1) a workload-aware approach to multi-tenancy that identifies the workloads that can be co-located on a database server, achieving higher consolidation and better performance than existing approaches; (2) the use of a graph-based data partitioning algorithm to achieve near-linear elastic scale-out even for complex transactional workloads; and (3) an adjustable security scheme that enables SQL queries to run over encrypted data, including ordering operations, aggregates, and joins. An underlying theme in the design of the components of Relational Cloud is the notion of workload awareness: by monitoring query patterns and data accesses, the system obtains information useful for various optimization and security functions, reducing the configuration effort for users and operators.en_US
dc.language.isoen_US
dc.relation.isversionofhttp://www.cidrdb.org/cidr2011/Papers/CIDR11_Paper33.pdfen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleRelational Cloud: A Database-as-a-Service for the Clouden_US
dc.typeArticleen_US
dc.identifier.citationCurino, Carlo et al. "Relational Cloud: A Database-as-a-Service for the Cloud." 5th Biennial Conference on Innovative Data Systems Research, CIDR 2011, January 9-12, 2011 Asilomar, California.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.approverZeldovich, Nickolai
dc.contributor.mitauthorCurino, Carlo
dc.contributor.mitauthorJones, Evan Philip Charles
dc.contributor.mitauthorPopa, Raluca Ada
dc.contributor.mitauthorMalviya, Nirmesh
dc.contributor.mitauthorWu, Eugene
dc.contributor.mitauthorMadden, Samuel R.
dc.contributor.mitauthorBalakrishnan, Hari
dc.contributor.mitauthorZeldovich, Nickolai
dc.relation.journal5th Biennial Conference on Innovative Data Systems Research, CIDR 2011en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsCurino, Carlo; Jones, Evan P. C.; Popa, Raluca Ada; Malviya, Nirmesh; Wu, Eugene; Madden, Sam; Balakrishnan, Hari; Zeldovich, Nickolai
dc.identifier.orcidhttps://orcid.org/0000-0002-7470-3265
dc.identifier.orcidhttps://orcid.org/0000-0003-0238-2703
dc.identifier.orcidhttps://orcid.org/0000-0002-1455-9652
mit.licenseOPEN_ACCESS_POLICYen_US


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