GridDB: a data-centric overlay for scientific grids

  • Authors:
  • David T. Liu;Michael J. Franklin

  • Affiliations:
  • UC Berkeley, EECS Dept. Berkeley, CA;UC Berkeley, EECS Dept. Berkeley, CA

  • Venue:
  • VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present GridDB, a data-centric overlay for scientific grid data analysis. In contrast to currently deployed process-centric middleware, GridDB manages data entities rather than processes. GridDB provides a suite of services important to data analysis: a declarative interface, type-checking, interactive query processing, and memoization. We discuss several elements of GridDB: workflow/data model, query language, software architecture and query processing; and a prototype implementation. We validate GridDB by showing its modeling of real-world physics and astronomy analyses, and measurements on our prototype.