From Big Science to Big Data
Pierre Vande Vyvre, CERN
Big Science has traditionally been an insatiable consumer of computing resources. Large distributed data processing structure, the data grids, have been put in place to address these needs. Yet the processing of the huge amounts of data produced during several decades by those large scientific installations has only been possible by selecting the data produced by fast custom electronic devices. This habit is upset by the unremitting technological evolution. The scientific experiments of the next generation will reduce more and more the role of these custom devices and entrust the processing of the complete data sets to standard computing algorithms. Big Science, like Big Business, is evolving towards big data. Examples from high energy physics and astrophysics will be used to show this evolution.