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A Science Cloud for Data Intensive Sciences

Authors :
Ken T Murata
Shinichi Watari
Tsutomu Nagatsuma
Manabu Kunitake
Hidenobu Watanabe
Kazunori Yamamoto
Yasufumi Kubota
Hisao Kato
Takuya Tsugawa
Kentaro Ukawa
Kazuya Muranaga
Eizen Kimura
Osamu Tatebe
Keiichiro Fukazawa
Yasuhiro Murayama
Source :
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
Volume :
12
Database :
Directory of Open Access Journals
Journal :
Data Science Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.7457d1c1101d4ae28dd740bf76b31511
Document Type :
article
Full Text :
https://doi.org/10.2481/dsj.WDS-024