• DocumentCode
    2522769
  • Title

    Efficient resource management for Cloud computing environments

  • Author

    Younge, Andrew J. ; Von Laszewski, Gregor ; Wang, Lizhe ; Lopez-Alarcon, Sonia ; Carithers, Warren

  • Author_Institution
    Pervasive Technol. Inst., Indiana Univ., Bloomington, IN, USA
  • fYear
    2010
  • fDate
    15-18 Aug. 2010
  • Firstpage
    357
  • Lastpage
    364
  • Abstract
    The notion of Cloud computing has not only reshaped the field of distributed systems but also fundamentally changed how businesses utilize computing today. While Cloud computing provides many advanced features, it still has some shortcomings such as the relatively high operating cost for both public and private Clouds. The area of Green computing is also becoming increasingly important in a world with limited energy resources and an ever-rising demand for more computational power. In this paper a new framework is presented that provides efficient green enhancements within a scalable Cloud computing architecture. Using power-aware scheduling techniques, variable resource management, live migration, and a minimal virtual machine design, overall system efficiency will be vastly improved in a data center based Cloud with minimal performance overhead.
  • Keywords
    distributed processing; environmental factors; power aware computing; resource allocation; software architecture; virtual machines; cloud computing architecture; data center; distributed system; green computing; live migration; power-aware scheduling technique; variable resource management; virtual machine design; Hardware; Virtual machining; Cloud Computing; Green Computing; Scheduling; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference, 2010 International
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-7612-1
  • Type

    conf

  • DOI
    10.1109/GREENCOMP.2010.5598294
  • Filename
    5598294