Title :
Panel: Using information re-use and integration principles in big data
Author :
Lee, Gordon ; Bertino, Elisa ; Rubin, Stuart ; Khoshgoftaar, Taghi M. ; Thuraisingham, Bhavani ; McCaffrey, James
Author_Institution :
San Diego State University, USA
Abstract :
More advanced and complex applications in social networks, gaming, entertainment, medical research, and GIS, to name a few, drive the requirements to process large data sets, commonly called BigData. As mentioned in an IBM report [1], BigData is characterized not only by volume (terabytes and petabytes) but also by velocity (speed requirements) and variety (types of data sets). The manipulation of such large data sets requirement massively parallel software using a large number of servers.
Conference_Titel :
Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on
Conference_Location :
Las Vegas, NV, USA
Print_ISBN :
978-1-4673-2282-9
Electronic_ISBN :
978-1-4673-2283-6
DOI :
10.1109/IRI.2012.6302976