Speaker
Description
Large sensor-based science infrastructures for radio astronomy will be among the most intensive data-driven projects in the world, facing very high demanding computation, storage, management, and above all power demands. The geographically wide distribution of the radioastronomical sensors and and its associated processing requirements in the form of tailored High Performance Computing (HPC) facilities and cloud distributed environments require a Greener approach towards the Information and Communications Technologies (ICT) adopted for the data processing to enable operational compliance with strict power budgets. In addition, this convergence of Big data technologies with parallel computing opens new digital avenues, that may enhance Internet of Things (IoT) applications in smart farming, smart tourism and the ubiquitous smart cities frameworks. Here we outline major characteristics and innovative scenarios that may share common digital background and potential high societal impacts.