Programming support for sensor-based scientific applications

Technical advances are enabling a pervasive computational ecosystem that integrates computing infrastructures with embedded sensors and actuators, and are giving rise to a new paradigm for monitoring, understanding, and managing natural and engineered systems - one that is information/data-driven. This research investigates programming systems for sensor-driven applications. It addresses abstractions and runtime mechanisms for integrating sensor systems with computational models for scientific processes, as well as for in- network data processing, e.g., aggregation, adaptive interpolation and assimilation. The current status of this research, as well as initial results are presented.