• DocumentCode
    653447
  • Title

    CloudDVMM: Distributed Virtual Machine Monitor for Cloud Computing

  • Author

    Li Ruan ; Jinbin Peng ; Limin Xiao ; Xiang Wang

  • Author_Institution
    State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1853
  • Lastpage
    1858
  • Abstract
    With the wide application of virtualization and cloud computing, it becomes an increasingly urgent problem of how to use a virtual machine monitor to integrate the increasing amount of distributed cloud computing nodes to improve their utility and reliability. Existing popular virtual machine monitors like Xen, VMware ESX Server, etc. are mostly acts as a fundamental infrastructure for the virtualization of one single cloud computing node. However, there are few researches on a virtual machine monitor for those distributed nodes under cloud computing environment. This paper introduces a novel distributed virtual machine monitor for cloud computing (CloudDVMM). We present its theoretical model, architecture and key technologies. Experiments and comparisons with existing researches show that CloudDVMM achieves better performance in distributed architecture, extensibility, etc. and is promising for meeting the integration requirements of distributed virtual computing and cloud computing environments.
  • Keywords
    cloud computing; virtual machines; virtualisation; CloudDVMM; distributed architecture; distributed cloud computing nodes; distributed virtual computing; distributed virtual machine monitor; Cloud computing; Computer architecture; Hardware; Prototypes; Virtual machine monitors; Virtualization; Cloud computing; distributed computing; extensiblity; virtual machine monitor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.344
  • Filename
    6682355