Title :
Trends in Computation, Communication and Storage and the Consequences for Data-intensive Science
Author :
Oliveira, Simone Ferlin ; Fürlinger, Karl ; Kranzlmüller, Dieter
Author_Institution :
Munich Network Manage. (MNM) Team, Ludwig-Maximilians-Univ., Munich, Germany
Abstract :
The way we are doing science is changing: Data analysis and computation modeling became tightly coupled. Divergent technological trends for computer processors, storage and memory and communication systems showed to be a real challenge in performance of current computing systems. In this paper we analyze the trends that influence computer performance, point out the technical challenges and introduce our vision in developing a guideline to an optimum distribution of computer resources addressing primarily data transmission issues.
Keywords :
data analysis; resource allocation; scientific information systems; storage management; communication systems; computer processor performance; computer resource distribution; data analysis; data computation modeling; data transmission; data-intensive science; memory systems; storage systems; Computers; Data communication; Data handling; Data storage systems; Information management; Market research; Program processors; big data; data-intensive science; trends;
Conference_Titel :
High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2164-8
DOI :
10.1109/HPCC.2012.83
