Resource-aware ubiquitous data stream querying

This paper proposes and develops a novel, iterative model for resource aware- ubiquitous data stream querying (RA-UDSQ). Our model provides timely results to mobile users at regular time intervals specified by the user, thereby executing continuous stream queries. This model is capable of adapting to high data rates of streams and limited memory resources available on a mobile device while executing continuous queries. We have experimentally compared our resource-aware ubiquitous data stream querying model with data stream querying without the adaptation. Our comparative analysis has shown that our RA-UDSQ can perform better in terms of memory and battery without compromising on accuracy of results when data rates are high and available resources are critically low.