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

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 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.

• Type: Conference
• Year: 2004
• Where: VLDB
• Authors: Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref, Susanne E. Hambrusch, Sunil Prabhakar, Moustafa A. Hammad
• Keywords: Continuous Spatio-temporal Queries, Database, Location-aware, Real-time Spatio-temporal Query, VLDB 2004