Leveraging data intensive computing to support Automated Event Services
Thomas L. Clune, Shawn M. Freeman, Kwo‐Sen Kuo · 2012
Our AES is an ideal example of a new generation of scientific analysis tools that are empowered by the rapid growth of facilities tailored for data-intensive computing. AES will greatly reduce the effort on the part of investigators to systematically search for interesting correlations and test hypotheses while also freeing researchers from the burden of managing the exploding volume of data. By supporting the ability to exchange event specifications and query results, AES greatly aids collaboration among investigators. We anticipate that AES will ultimately lead to entirely novel lines of investigation.