dc.creatorWu, Jinsong
dc.creatorGuo, Song
dc.creatorLi, Jie
dc.creatorZeng, Deze
dc.date.accessioned2017-03-02T14:06:33Z
dc.date.available2017-03-02T14:06:33Z
dc.date.created2017-03-02T14:06:33Z
dc.date.issued2016
dc.identifierIEEE Systems Journal. Volumen: 10 Número: 3 Páginas: 873-887
dc.identifier10.1109/JSYST.2016.2550538
dc.identifierhttps://repositorio.uchile.cl/handle/2250/142936
dc.description.abstractNowadays, there are two significant tendencies, how to process the enormous amount of data, big data, and how to deal with the green issues related to sustainability and environmental concerns. An interesting question is whether there are inherent correlations between the two tendencies in general. To answer this question, this paper firstly makes a comprehensive literature survey on how to green big data systems in terms of the whole life cycle of big data processing, and then this paper studies the relevance between big data and green metrics and proposes two new metrics, effective energy efficiency and effective resource efficiency in order to bring new views and potentials of green metrics for the future times of big data.
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceIEEE Systems Journal
dc.subjectsustainability
dc.subjectresource efficiency
dc.subjectgreen revolution
dc.subjectenergy efficiency (EE)
dc.subjectenvironmental sustainability
dc.subjecteffective resource efficiency (ERE)
dc.subjecteffective energy efficiency (EEE)
dc.subjectdata analytics
dc.subjectdata storage
dc.subjectdata communications
dc.subjectdata acquisition
dc.subjectdata generation
dc.subjectBig data
dc.titleBig Data Meet Green Challenges: Greening Big Data
dc.typeArtículo de revista


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