Paper Info
Title
PLACE: a query processor for handling real-time spatio-temporal data streams
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.
Year
DOI
Venue
2004
10.1016/B978-012088469-8.50151-0
VLDB
Keywords
Field
DocType
new real-time spatio-temporal query,continuous spatio-temporal query,place server addresses scalability,scalable location-aware database server,pervasive location-aware computing environments,location-aware services call,place server,large number,real-time spatio-temporal data stream,pipelined spatio-temporal operator,query processor,real time
Data stream mining,Computer science,Temporal database,Operator (computer programming),STREAMS,Database server,Database,Scalability,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-12-088469-0
23
1.24
References 
Authors
11
6
Name
Order
Citations
PageRank
Mohamed F. Mokbel14277212.97
Xiaopeng Xiong236013.11
Walid G. Aref34502419.49
Susanne E. Hambrusch41210102.99
Sunil Prabhakar52664152.75
Moustafa A. Hammad629719.61