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PLACE: A Query Processor for Handling Real-time Spatio-temporal Data Streams

  • Mohamed F. Mokbel
  • , Xiaopeng Xiong
  • , Walid G. Aref
  • , Susanne E. Hambrusch
  • , Sunil Prabhakar
  • , Moustafa A. Hammad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationVLDB 2004 - Proceedings of the 30th International Conference on Very Large Data Bases
EditorsMario A. Nascimento, M. Tamer Ozsu, Donald Kossmann, Renee J. Miller, Jose A. Blakeley, K. Bernhard Schiefer
PublisherMorgan Kaufmann Publishers, Inc.
Pages1377-1380
Number of pages4
ISBN (Electronic)0120884690, 9780120884698
DOIs
StatePublished - 2004
Externally publishedYes
Event30th International Conference on Very Large Data Bases, VLDB 2004 - Toronto, Canada
Duration: Aug 31 2004Sep 3 2004

Publication series

NameVLDB 2004 - Proceedings of the 30th International Conference on Very Large Data Bases

Conference

Conference30th International Conference on Very Large Data Bases, VLDB 2004
Country/TerritoryCanada
CityToronto
Period8/31/049/3/04

Bibliographical note

Publisher Copyright:
© VLDB 2004 - Proceedings of the 30th International Conference on Very Large Data Bases.

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