Journal
IEEE SYSTEMS JOURNAL
Volume 10, Issue 3, Pages 888-900Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2016.2550530
Keywords
Big data; data analytics; energy efficiency; environmental issues; environmental sustainability; green; green revolution; resource efficiency; renewable resource; recyclability; sustainable environments; sustainability applications; sustainability
Categories
Funding
- Universidad de Chile
- Strategic International Collaborative Research Program (SICORP) Japanese (JST) - US (NSF) Joint Research Big Data and Disaster Research (BDD)
- Japan Society for Promotion of Science (JSPS)
- NSF of China [61402425, 61502439]
- Grants-in-Aid for Scientific Research [26280027] Funding Source: KAKEN
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Big data are widely recognized as being one of the most powerful drivers to promote productivity, improve efficiency, and support innovation. It is highly expected to explore the power of big data and turn big data into big values. To answer the interesting question whether there are inherent correlations between the two tendencies of big data and green challenges, a recent study has investigated the issues on greening the whole life cycle of big data systems. This paper would like to discover the relations between the trend of big data era and that of the new generation green revolution through a comprehensive and panoramic literature survey in big data technologies toward various green objectives and a discussion on relevant challenges and future directions.
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