Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Energy Implications of Big Data

  • Behrooz ParhamiEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_171-1



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.

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 installations. We are...

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUniversity of CaliforniaSanta BarbaraUSA

Section editors and affiliations

  • Bingsheng He
  • Behrooz Parhami
    • 1
  1. 1.Dept. of Electrical and Computer EngineeringUniversity of California, Santa BarbaraSanta BarbaraUnited States