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.
This paper presentsa number of new techniques for parrdlelizing gee-spatial database systems and discusses their implementation in the Paradise object-relational database system. The effective- ness of these techniques is demonstrated using a variety of com- plex gee-spatial queries over a 120 GB global gee-spatial data set. 1. Introduction and Motivation
Jignesh M. Patel合作论文数Computer Science Department, School of Computer Science, Carnegie Mellon University;DataChat Inc.2
David DeWitt合作论文数Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology2
Jeffrey F. Naughton合作论文数Department of Computer Sciences, University of Wisconsin-Madison2
Navin Kabra合作论文数Computer Sciences Department|University of Wisconsin-Madison2
Curt J. Ellmann合作论文数2
Biswadeep Nag合作论文数* this->University2Jie-Bing Yu合作论文数Department of Computer Sciences, University of Wisconsin - Madison2Shelly Guo合作论文数2Roger Lueder合作论文数2Josef Burger合作论文数University of Wisconsin2
Karthikeyan Ramasamy合作论文数Splunk2Nancy Hall合作论文数1Johan Larson合作论文数1
Kristin Tufte合作论文数Department of Computer Science ;Portland State University1
