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A Science Cloud for Data Intensive Sciences
- 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.
- Subjects :
- Informatics
Cloud systems
business.industry
Computer science
Data intensive science
Engineering informatics
Materials informatics
Information and Computer Science
Cloud computing
Observation
Computer simulation
Large-scale storage
Data science
Computer Science Applications
Data-oriented science
Experiment
Science research
Super computer
Science cloud
Computer Science (miscellaneous)
business
lcsh:Science (General)
lcsh:Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 16831470
- Database :
- OpenAIRE
- Journal :
- Data Science Journal
- Accession number :
- edsair.doi.dedup.....a0941e758835bfc4d7ae4e3932a9fa9f