A mobile agent-based architecture for on-demand processing of remote-sensing archive

Remote-sensing data about the Earth´s environment is being created at an ever-increasing rate and distributed among heterogeneous remote sites. Traditional models of distributed computing are inadequate to support such complex applications, which generally involve a large quantity of data. The authors describe a mobile agent based architecture for analyzing and managing data for the Synthetic Aperture Radar Atlas (SARA) remote sensing library. A scalable and flexible architecture based on mobile agents is presented. SARA is a digital library of multi spectral remote sensing imagery of the Earth. We show how to efficiently support on-demand processing of such a remote sensing archive, using a combination of mobility and parallel computing techniques. Our architecture can support a large number of agents, where agents perform specialized roles.