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Energy Implications of Big Data

  • Reference work entry
  • First Online:
Encyclopedia of Big Data Technologies

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Synonyms

Energy wall; Energy-efficient data storage and processing; Green big data

Definitions

Data storage, communication, and processing consume energy, and big data requires a correspondingly big energy budget, necessitating more attention and effort to ensure energy efficiency.

Overview

Until fairly recently, developments in the field of computer architecture (Parhami 2005) were focused around computation running time and hardware complexity and how the two can be traded off against each other in various designs. With the advent of mobile devices and terascale, petascale, and, soon, exascale computing, energy consumption emerged as a major design factor that overshadowed the older concerns to some extent. Key driving forces for research into energy efficiency were battery life in compact mobile devices with smallish batteries, energy costs for operators of supercomputer centers, and the difficulties of heat dissipation in both mobile devices and mainframe/data-center...

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA

    Behrooz Parhami

Authors
  1. Behrooz Parhami
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Corresponding author

Correspondence to Behrooz Parhami .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

  2. School of Information Technologies, Sydney University, Sydney, Australia

    Albert Y. Zomaya

Section Editor information

  1. No affiliation provided

    Bingsheng He

  2. No affiliation provided

    Behrooz Parhami

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Parhami, B. (2019). Energy Implications of Big Data. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_171

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