PLACE

Mohmed F. Mokbel, Xiaopeng Xiong, Wald G. Aref, Susanne E. Hambrusch, Sunil Prabhakar, Moustafa A. Hammad

Research output: Chapter in Book/Report/Conference proceedingChapter

15 Scopus citations

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. This chapter presents Pervasive Location-Aware Computing Environments (PLACE), which is 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 spatiotemporal 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. The PLACE server is implemented on top of the NILE query processor—an extended version of the PREDATOR database management system to handle stream data. The PLACE server GUI is for the purpose of administration at the server side. The main idea is to keep a track of the concurrently executing continuous queries from each type.

Original languageEnglish (US)
Title of host publicationProceedings 2004 VLDB Conference
Subtitle of host publicationThe 30th International Conference on Very Large Databases (VLDB)
PublisherElsevier
Pages1377-1380
Number of pages4
ISBN (Electronic)9780120884698
DOIs
StatePublished - Jan 1 2004

Bibliographical note

Publisher Copyright:
© 2004 Elsevier Inc. All rights reserved.

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