H2O: An autonomic, resource-aware distributed database system

Angus Macdonald, Alan Dearle, Graham Kirby

Research output: Contribution to conferencePaperpeer-review

1 Downloads (Pure)

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.
Original languageEnglish
Number of pages10
Publication statusPublished - 16 Jun 2010
EventSICSA PhD Conference 2010 - Edinburgh, United Kingdom
Duration: 9 Jun 2010 → …

Conference

ConferenceSICSA PhD Conference 2010
Country/TerritoryUnited Kingdom
CityEdinburgh
Period9/06/10 → …

Keywords

  • cs.DB
  • cs.DC
  • Distributed, parallel, and cluster computing
  • Databases

Fingerprint

Dive into the research topics of 'H2O: An autonomic, resource-aware distributed database system'. Together they form a unique fingerprint.

Cite this