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dc.contributor.advisorSam Madden
dc.contributor.authorWu, Eugeneen_US
dc.contributor.authorMadden, Samuelen_US
dc.contributor.authorZhang, Yangen_US
dc.contributor.authorJones, Evanen_US
dc.contributor.authorCurino, Carloen_US
dc.contributor.otherDatabaseen
dc.date.accessioned2010-03-15T22:15:07Z
dc.date.available2010-03-15T22:15:07Z
dc.date.issued2010-03-14
dc.identifier.urihttp://hdl.handle.net/1721.1/52606
dc.description.abstractIn this paper, we make the case for â databases as a serviceâ (DaaS), with two target scenarios in mind: (i) consolidation of data management functionality for large organizations and (ii) outsourcing data management to a cloud-based service provider for small/medium organizations. We analyze the many challenges to be faced, and discuss the design of a database service we are building, called Relational Cloud. The system has been designed from scratch and combines many recent advances and novel solutions. The prototype we present exploits multiple dedicated storage engines, provides high-availability via transparent replication, supports automatic workload partitioning and live data migration, and provides serializable distributed transactions. While the system is still under active development, we are able to present promising initial results that showcase the key features of our system. The tests are based on TPC benchmarks and real-world data from epinions.com, and show our partitioning, scalability and balancing capabilities.en_US
dc.format.extent6 p.en_US
dc.relation.ispartofseriesMIT-CSAIL-TR-2010-014
dc.subjectcloud computingen_US
dc.subjectdatabase partitioningen_US
dc.subjectdistributed databasesen_US
dc.subjectdatabase as a serviceen_US
dc.titleRelational Cloud: The Case for a Database Serviceen_US


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