• DocumentCode
    168663
  • Title

    Modeling the Virtual Machine Launching Overhead under Fermicloud

  • Author

    Hao Wu ; Shangping Ren ; Garzoglio, Gabriele ; Timm, Steven ; Bernabeu, Gil ; Seo-Young Noh

  • Author_Institution
    Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2014
  • fDate
    26-29 May 2014
  • Firstpage
    374
  • Lastpage
    383
  • Abstract
    Fermi Cloud is a private cloud developed by the Fermi National Accelerator Laboratory for scientific workflows. The Cloud Bursting module of the Fermi Cloud enables the Fermi Cloud, when more computational resources are needed, to automatically launch virtual machines to available resources such as public clouds. One of the main challenges in developing the cloud bursting module is to decide when and where to launch a VM so that all resources are most effectively and efficiently utilized and the system performance is optimized. However, based on Fermi Cloud´s system operational data, the VM launching overhead is not a constant. It varies with physical resource (CPU, memory, I/O device) utilization at the time when a VM is launched. Hence, to make judicious decisions as to when and where a VM should be launched, a VM launch overhead reference model is needed. The paper is to develop a VM launch overhead reference model based on operational data we have obtained on Fermi Cloud and uses the reference model to guide the cloud bursting process.
  • Keywords
    cloud computing; virtual machines; Fermi National Accelerator Laboratory; Fermicloud; VM launch overhead reference model; cloud bursting module; operational data; scientific workflows; virtual machine launching overhead modeling; Booting; Cloud computing; Computational modeling; Computers; Mathematical model; Resource management; Virtual machining; Virtual machine; cloud; overhead; reference model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/CCGrid.2014.87
  • Filename
    6846473