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A Science Cloud for Data Intensive Sciences

Authors :
Yasuhiro Murayama
Eizen Kimura
Kentaro Ukawa
Yasufumi Kubota
Hisao Kato
Ken T. Murata
Kazunori Yamamoto
Keiichiro Fukazawa
Shinichi Watari
Manabu Kunitake
Tsutomu Nagatsuma
Osamu Tatebe
Kazuya Muranaga
Takuya Tsugawa
Hidenobu Watanabe
Source :
Data Science Journal; Vol 12 (2013): Special Issue; WDS139-WDS146, Data Science Journal, Vol 12 (2013)
Publication Year :
2013
Publisher :
Ubiquity Press, 2013.

Abstract

It is often discussed that the fourth methodology for science research is "informatics". The first methodology is a theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. Informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data are digitalized and the amount of data is huge. The facilities to support informatics are cloud systems. Herein we propose a cloud system especially designed for science. The basic concepts, design, resources, implementation, and applications of the NICT science cloud are discussed.

Details

Language :
English
ISSN :
16831470
Database :
OpenAIRE
Journal :
Data Science Journal
Accession number :
edsair.doi.dedup.....a0941e758835bfc4d7ae4e3932a9fa9f