An efficient spatial publish/subscribe system for intelligent location-based services
Proceedings of the 2nd international workshop on Distributed event-based systems
LORE: an infrastructure to support location-aware services
IBM Journal of Research and Development
A query processor for prediction-based monitoring of data streams
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
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Advances in wireless Internet and mobile computing require a new service model for location aware services supporting 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 management engine to support such 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. The component-based architecture facilitates easy deployment of CAMEL for meeting different service model, such as push service, moving object monitor and moving object data warehousing. Two spatial trigger processing mechanisms for Single Moving Object Trigger and Binary Moving Object Trigger, which play an important role in push-based location aware service, are presented in detail and their performance is analyzed.