A Sensor Grid Framework for Acoustic Surveillance Applications

This paper describes the design and implementation of a framework that integrates deployment, execution, and notification mechanisms for running surveillance monitoring applications on multi-purpose grids. The proposed framework employs statistical analysis over historical data along with self-adaptive mechanisms to allocate efficiently task to resources. This framework has been deployed on a set of computational resources pertaining to the Pacific Rim applications and grid middleware assembly (PRAGMA) infrastructure.