Big Data Meet Green Challenges: Greening Big Data

Jinsong Wu, Song Guo, Jie Li, Deze Zeng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

127 Citations (Scopus)

Abstract

Nowadays, 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.
Original languageEnglish
Article number7473821
Pages (from-to)873-887
Number of pages15
JournalIEEE Systems Journal
Volume10
Issue number3
DOIs
Publication statusPublished - 1 Sep 2016
Externally publishedYes

Keywords

  • Big data
  • data acquisition
  • data analytics
  • data communications
  • data generation
  • data storage
  • effective energy efficiency (EEE)
  • effective resource efficiency (ERE)
  • energy efficiency (EE)
  • environmental sustainability
  • green
  • green revolution
  • resource efficiency
  • sustainability

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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