• DocumentCode
    2057230
  • Title

    Intelligent Green IT Management for Enterprises through System Profiling

  • Author

    Rao, Subrahmanya VRK ; Saravanakumar, Jeyabalan ; Sundararaman, Karthik ; Parthasarathi, Jinka ; Ramesh, S.

  • Author_Institution
    Global Technol. Office, Cognizant Technol. Solutions, Chennai, India
  • fYear
    2011
  • fDate
    4-5 Aug. 2011
  • Firstpage
    206
  • Lastpage
    211
  • Abstract
    Green IT service aim at reducing carbon footprints in workplace and hence save cost using technologies that are sustainable. The current work presents an intelligent Green IT management technique through the system profiling and application of Machine Learning techniques towards generating the system usage patterns. A batch program was developed to control PCs based on the usage pattern. The solution could be implemented in data centers, development centers where thousands of PCs whose usage behavior varies. Such a system could be extended by building ontology´s for multiple users using a single system.
  • Keywords
    data mining; environmental factors; learning (artificial intelligence); PC; association rules; batch program; data centers; green IT service; intelligent green IT management; machine learning techniques; system profiling; system usage patterns; Association rules; Engines; Flexible printed circuits; Green products; Intelligent systems; Protocols; Servers; Association Rules; Green IT; Machine Learning; PC profiling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4577-1006-3
  • Electronic_ISBN
    978-0-7695-4466-3
  • Type

    conf

  • DOI
    10.1109/GreenCom.2011.42
  • Filename
    6061328