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dc.contributor.authorMacdonald, Angus
dc.contributor.authorDearle, Alan
dc.contributor.authorKirby, Graham
dc.date.accessioned2011-01-06T16:30:03Z
dc.date.available2011-01-06T16:30:03Z
dc.date.issued2010-06-16
dc.identifier.citationMacdonald , A , Dearle , A & Kirby , G 2010 , ' H2O : An autonomic, resource-aware distributed database system ' , Paper presented at SICSA PhD Conference 2010 , Edinburgh , United Kingdom , 9/06/10 .en
dc.identifier.citationconferenceen
dc.identifier.otherPURE: 5006745
dc.identifier.otherPURE UUID: 3b239544-97be-440e-88ee-668221084db7
dc.identifier.otherArXiv: http://arxiv.org/abs/1006.3180v1
dc.identifier.otherORCID: /0000-0002-4422-0190/work/28429096
dc.identifier.urihttps://hdl.handle.net/10023/1663
dc.description.abstractThis paper presents the design of an autonomic, resource-aware distributed database which enables data to be backed up and shared without complex manual administration. The database, H2O, is designed to make use of unused resources on workstation machines. Creating and maintaining highly-available, replicated database systems can be difficult for untrained users, and costly for IT departments. H2O reduces the need for manual administration by autonomically replicating data and load-balancing across machines in an enterprise. Provisioning hardware to run a database system can be unnecessarily costly as most organizations already possess large quantities of idle resources in workstation machines. H2O is designed to utilize this unused capacity by using resource availability information to place data and plan queries over workstation machines that are already being used for other tasks. This paper discusses the requirements for such a system and presents the design and implementation of H2O.
dc.format.extent10
dc.language.isoeng
dc.subjectcs.DBen
dc.subjectcs.DCen
dc.subjectDistributed, parallel, and cluster computingen
dc.subjectDatabasesen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleH2O : An autonomic, resource-aware distributed database systemen
dc.typeConference paperen
dc.description.versionPreprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.sicsaconf.org/en
dc.identifier.urlhttp://arxiv.org/abs/1006.3180en


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