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

fYear

2012

fDate

25-27 June 2012

Firstpage

572

Lastpage

579

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/HPCC.2012.83

Filename

6332222