Building a scaleable geo-spatial DBMS: technology, implementation, and evaluation

  • Authors:

  • Jignesh Patel;JieBing Yu;Navin Kabra;Kristin Tufte;Biswadeep Nag;Josef Burger;Nancy Hall;Karthikeyan Ramasamy;Roger Lueder;Curt Ellmann;Jim Kupsch;Shelly Guo;Johan Larson;David De Witt;Jeffrey Naughton

  • Affiliations:

  • Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison;Computer Sciences Department, University of Wisconsin-Madison

  • Venue:
  • SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
  • Year:
  • 1997

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a number of new techniques for parallelizing geo-spatial database systems and discusses their implementation in the Paradise object-relational database system. The effectiveness of these techniques is demonstrated using a variety of complex geo-spatial queries over a 120 GB global geo-spatial data set.