dc.creatorWu, Jinsong
dc.creatorGuo, Song
dc.creatorLi, Jie
dc.creatorZeng, Deze
dc.date.accessioned2017-03-02T14:05:55Z
dc.date.available2017-03-02T14:05:55Z
dc.date.created2017-03-02T14:05:55Z
dc.date.issued2016
dc.identifierIEEE Systems Journal. Volumen: 10 Número: 3 Páginas: 888-900
dc.identifier10.1109/JSYST.2016.2550530
dc.identifierhttps://repositorio.uchile.cl/handle/2250/142935
dc.description.abstractBig 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.
dc.languageen
dc.sourceIEEE Systems Journal
dc.subjectsustainability
dc.subjectsustainability applications
dc.subjectsustainable environments
dc.subjectrecyclability
dc.subjectrenewable resource
dc.subjectresource efficiency
dc.subjectgreen revolution
dc.subjectgreen
dc.subjectenvironmental sustainability
dc.subjectenvironmental issues
dc.subjectenergy efficiency
dc.subjectdata analytics
dc.subjectBig data
dc.titleBig Data Meet Green Challenges: Big Data Toward Green Applications
dc.typeArtículo de revista


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