Abstract
The emergence of location-aware services calls for new real-time spatio-temporal query processing algorithms that deal with large numbers of mobile objects and queries. In this demo, we present PLACE (Pervasive Location-Aware Computing Environments); a scalable location-aware database server developed at Purdue University. The PLACE server addresses scalability by adopting an incremental evaluation mechanism for answering concurrently executing continuous spatio-temporal queries. The PLACE server supports a wide variety of stationery and moving continuous spatio-temporal queries through a set of pipelined spatio-temporal operators. The large numbers of moving objects generate real-time spatio-temporal data streams.
| Original language | English (US) |
|---|---|
| Title of host publication | VLDB 2004 - Proceedings of the 30th International Conference on Very Large Data Bases |
| Editors | Mario A. Nascimento, M. Tamer Ozsu, Donald Kossmann, Renee J. Miller, Jose A. Blakeley, K. Bernhard Schiefer |
| Publisher | Morgan Kaufmann Publishers, Inc. |
| Pages | 1377-1380 |
| Number of pages | 4 |
| ISBN (Electronic) | 0120884690, 9780120884698 |
| DOIs | |
| State | Published - 2004 |
| Externally published | Yes |
| Event | 30th International Conference on Very Large Data Bases, VLDB 2004 - Toronto, Canada Duration: Aug 31 2004 → Sep 3 2004 |
Publication series
| Name | VLDB 2004 - Proceedings of the 30th International Conference on Very Large Data Bases |
|---|
Conference
| Conference | 30th International Conference on Very Large Data Bases, VLDB 2004 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 8/31/04 → 9/3/04 |
Bibliographical note
Publisher Copyright:© VLDB 2004 - Proceedings of the 30th International Conference on Very Large Data Bases.
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