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14th International Workshop on Database and Expert Systems Applications (DEXA'03)
Managing Location Stream Using Moving Object Database
Prague, Czech Republic
September 01-September 05
ISBN: 0-7695-1993-8
Ying Chen, IBM China Research Laboratory
Fangyan Rao, IBM China Research Laboratory
Xiulan YU, IBM China Research Laboratory
Dong Liu, IBM China Research Laboratory
Long Zhang, IBM China Research Laboratory
Advances in wireless Internet and mobile computing require a new service model for location aware services to support push services and personalization services based on mobility patterns of mobile users. This paper presents a prototype of CAMEL (Continuous, Active Monitor Engine for Location-based Services), a high performance location stream engine to manage large number of moving objects in support of intelligent location aware services. We introduce the location model employed by CAMEL, the component architecture and key components of CAMLE, including a Database component, Location Listener, Query Engine, Location Filter, Trigger Handler and Data Server. Also we present an enhanced processing algorithm using Max-Velocity constraint for improving performance of Binary Moving Object Trigger.
Citation:
Ying Chen, Fangyan Rao, Xiulan YU, Dong Liu, Long Zhang, "Managing Location Stream Using Moving Object Database," dexa, pp.916, 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003
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