• DocumentCode
    1276498
  • Title

    Self-organizing sensing infrastructure for autonomic management of green datacenters

  • Author

    Viswanathan, Hariharasudhan ; Lee, Eun Kyung ; Pompili, Dario

  • Author_Institution
    Dept. of Electr. & Comput. Eng. (ECE), Rutgers Univ., Piscataway, NJ, USA
  • Volume
    25
  • Issue
    4
  • fYear
    2011
  • Firstpage
    34
  • Lastpage
    40
  • Abstract
    The scale and complexity of modern datacenters are growing at an alarming rate due to the rising popularity of the cloud computing paradigm as an effective means to cater to the ever increasing demand for computing and storage. The management of modern datacenters is rapidly exceeding human ability, making autonomic approaches essential. In this article, methods for acquiring thermal awareness using real-time measurements and heat and air circulation models as well as solutions for proactive autonomic datacenter management that exploit this awareness are discussed. Novel communication and coordination schemes that enable self-organization of a network of external heterogeneous sensors (e.g., thermal cameras, scalar temperature and humidity sensors, airflow meters) into a multitier sensing infrastructure capable of real-time datacenter monitoring are also presented.
  • Keywords
    cloud computing; computer centres; environmental factors; fault tolerant computing; real-time systems; sensors; air circulation model; autonomic management; cloud computing; green datacenter; heat circulation model; heterogeneous sensor; real-time datacenter monitoring; thermal awareness; Autonomic systems; Cloud computing; Data processing; Database systems; Green design; Storage automation; Temperature measurement;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2011.5958006
  • Filename
    5958006