Data Science Journal (Mar 2013)

A Science Cloud for Data Intensive Sciences

  • 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

DOI
https://doi.org/10.2481/dsj.WDS-024
Journal volume & issue
Vol. 12

Abstract

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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.

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