• DocumentCode
    611039
  • Title

    An Autonomic and Scalable Management System for Private Clouds

  • Author

    Simonin, Matthieu ; Feller, E. ; Orgerie, A. ; Jegou, Y. ; Morin, Christine

  • Author_Institution
    INRIA, IRISA, Rennes, France
  • fYear
    2013
  • fDate
    13-16 May 2013
  • Firstpage
    198
  • Lastpage
    199
  • Abstract
    Snooze is an open-source scalable, autonomic, and energy-efficient virtual machine (VM) management framework for private clouds. It allows users to build compute infrastructures from virtualized resources. Particularly, once installed and configured, it allows its users to submit and control the life-cycle of a large number of VMs. For scalability, the system relies on a self-organizing hierarchical architecture. Moreover, it implements self-healing mechanisms in case of failure to enable high availability. It also performs energy-efficient distributed VM management through consolidation and power management techniques. This poster focuses on the experimental validation of two main properties of Snooze: scalability and fault-tolerance.
  • Keywords
    cloud computing; data privacy; fault tolerant computing; power aware computing; public domain software; virtual machines; autonomic management system; autonomic virtual machine management framework; distributed VM management; energy-efficient virtual machine management framework; fault-tolerance; open-source scalable virtual machine management framework; power management techniques; private clouds; scalable management system; self-organizing hierarchical architecture; snooze; virtualized resources; Cloud computing; Computer architecture; Fault tolerance; Fault tolerant systems; Monitoring; Resource management; Scalability; autonomic computing; cloud computing; fault tolerance; resource management; scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on
  • Conference_Location
    Delft
  • Print_ISBN
    978-1-4673-6465-2
  • Type

    conf

  • DOI
    10.1109/CCGrid.2013.44
  • Filename
    6546091