Cloud Infrastructure for Retrieving and Refining Information from Sensors (CIRRIS)

A wealth of sensor data is available to address the information needs of tactical Warfighters. However, this data resides in diverse, large, remote data stores. Delivering actionable information to the Warfighter requires discovering the relevant sources, retrieving relevant information, integrating the data so that it can be fused, and performing level one fusion. Since the preoccupied Warfighter cannot coordinate this workflow manually, it must be automatic. We propose a novel cloud infrastructure that orchestrates semantic discovery, retrieval, and fusion of information from diverse distributed sources. This effort addresses the technical challenge of applying map reduce processing to data that is external to the cloud and that is discovered (so the workflow required to integrate it cannot be known in advance). An innovative integration of semantic web service composition and map reduce processing is proposed. This combination of semantic technology and distributed processing will provide tactical Warfighters with the information they need, and provide it quickly.