4.6 Article

Big Data Meet Green Challenges: Big Data Toward Green Applications

期刊

IEEE SYSTEMS JOURNAL
卷 10, 期 3, 页码 888-900

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2016.2550530

关键词

Big data; data analytics; energy efficiency; environmental issues; environmental sustainability; green; green revolution; resource efficiency; renewable resource; recyclability; sustainable environments; sustainability applications; sustainability

资金

  1. Universidad de Chile
  2. Strategic International Collaborative Research Program (SICORP) Japanese (JST) - US (NSF) Joint Research Big Data and Disaster Research (BDD)
  3. Japan Society for Promotion of Science (JSPS)
  4. NSF of China [61402425, 61502439]
  5. Grants-in-Aid for Scientific Research [26280027] Funding Source: KAKEN

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据