• DocumentCode
    2722417
  • Title

    Green Computing Algorithmics

  • Author

    Pruhs, Kirk

  • Author_Institution
    Comput. Sci. Dept., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    22-25 Oct. 2011
  • Firstpage
    3
  • Lastpage
    4
  • Abstract
    The converging trends of society´s desire/need for more sustainable technologies, exponentially increasing power densities within computing devices, and exponentially more computing devices, have inevitably pushed power and energy management into the forefront of computing design and management for purely economic reasons. Thus we are in the midst of a green computing revolution involving the redesign of information technology hardware and software at all levels of the information technology stack. This revolution has spawned a multitude of technological challenges, many of which are algorithmic in nature. We provide pointers into the literature on the green computing algorithmics.
  • Keywords
    energy conservation; environmental factors; sustainable development; energy management; green computing algorithmics; information technology stack; power management; sustainable technologies; Algorithm design and analysis; Computer science; Computers; Google; Green products; Software; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on
  • Conference_Location
    Palm Springs, CA
  • ISSN
    0272-5428
  • Print_ISBN
    978-1-4577-1843-4
  • Type

    conf

  • DOI
    10.1109/FOCS.2011.44
  • Filename
    6108144