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H2O : An autonomic, resource-aware distributed database system
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dc.contributor.author | Macdonald, Angus | |
dc.contributor.author | Dearle, Alan | |
dc.contributor.author | Kirby, Graham | |
dc.date.accessioned | 2011-01-06T16:30:03Z | |
dc.date.available | 2011-01-06T16:30:03Z | |
dc.date.issued | 2010-06-16 | |
dc.identifier.citation | Macdonald , 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.citation | conference | en |
dc.identifier.other | PURE: 5006745 | |
dc.identifier.other | PURE UUID: 3b239544-97be-440e-88ee-668221084db7 | |
dc.identifier.other | ArXiv: http://arxiv.org/abs/1006.3180v1 | |
dc.identifier.other | ORCID: /0000-0002-4422-0190/work/28429096 | |
dc.identifier.uri | https://hdl.handle.net/10023/1663 | |
dc.description.abstract | This 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.extent | 10 | |
dc.language.iso | eng | |
dc.subject | cs.DB | en |
dc.subject | cs.DC | en |
dc.subject | Distributed, parallel, and cluster computing | en |
dc.subject | Databases | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject.lcc | QA75 | en |
dc.title | H2O : An autonomic, resource-aware distributed database system | en |
dc.type | Conference paper | en |
dc.description.version | Preprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.description.status | Peer reviewed | en |
dc.identifier.url | http://www.sicsaconf.org/ | en |
dc.identifier.url | http://arxiv.org/abs/1006.3180 | en |
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