Leveraging computation sharing and parallel processing in location-dependent query processing
The Journal of Supercomputing
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The emergence of location-aware services calls for new efficient real-time queries processing algorithms. In this paper, we focus specifically on real-time processing of range-monitoring queries. Ying Cai et al. introduced a technique called Monitoring Query Management (MQM) for efficient real-time processing of range-monitoring queries in heterogeneous mobile databases. The technique involves allowing the mobile objects to monitor their movement directly against nearby queries. Mobile objects need to update their locations to the server only when they move out of the assigned resident domain. In this paper, we present a distributed server infrastructure as opposed to the centralized approach in MQM to achieve scalability and robustness. In addition, to add flexibility to MQM technique, we allow mobile objects to adjust their computing capacity to reflect their processing capability at different time.