Skip to main navigation Skip to search Skip to main content

Applying database support for large scale data driven science in distributed environments

  • Ohio State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

28 Scopus citations

Abstract

There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e.g., running new simulations, doing additional measurements, extending the analysis to larger data collections. Critical steps in data analysis are to extract the data of interest from large and potentially distributed datasets and to move it from storage clusters to compute clusters for processing. We have developed a middleware framework, called GridDB-Lite, that is designed to efficiently support these two steps. We describe the application of GridDB-Lite in large scale oil reservoir simulation studies and experimentally evaluate several optimizations that can be employed in the GridDB-Lite runtime system.

Original languageEnglish
Title of host publicationProceedings - 4th International Workshop on Grid Computing, GRID 2003
PublisherIEEE Computer Society
Pages141-148
Number of pages8
ISBN (Electronic)076952026X
DOIs
StatePublished - 2003
Event4th International Workshop on Grid Computing, GRID 2003 - Phoenix, United States
Duration: Nov 17 2003 → …

Publication series

NameProceedings - IEEE/ACM International Workshop on Grid Computing
Volume2003-January
ISSN (Print)1550-5510

Conference

Conference4th International Workshop on Grid Computing, GRID 2003
Country/TerritoryUnited States
CityPhoenix
Period11/17/03 → …

Keywords

  • Analytical models
  • Computational modeling
  • Data analysis
  • Data mining
  • Distributed computing
  • Distributed databases
  • Hydrocarbon reservoirs
  • Large-scale systems
  • Middleware
  • Petroleum

Fingerprint

Dive into the research topics of 'Applying database support for large scale data driven science in distributed environments'. Together they form a unique fingerprint.

Cite this