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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/1663
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Title: H2O : An autonomic, resource-aware distributed database system
Authors: Macdonald, Angus
Dearle, Alan
Kirby, Graham
Keywords: cs.DB
cs.DC
Distributed, parallel, and cluster computing
Databases
QA75 Electronic computers. Computer science
Issue Date: 16-Jun-2010
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 , .
conference
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.
Version: Preprint
Status: Peer reviewed
URI: http://hdl.handle.net/10023/1663
http://arxiv.org/abs/1006.3180
http://www.sicsaconf.org/
Type: Conference paper
Appears in Collections:University of St Andrews Research
Computer Science Research



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