• DocumentCode
    141764
  • Title

    Power-Aware Real-Time Virtual Machine Schedulers in Discrete DVFS Systems

  • Author

    Jun-ho Seo ; Tchamgoue, G.M. ; Kyong Hoon Kim

  • Author_Institution
    Dept. of Inf., Gyeongsang Nat. Univ., Jinju, South Korea
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    459
  • Lastpage
    463
  • Abstract
    Power-aware computing has become an important problem not only in embedded systems but also in large-scale data centers in Cloud computing environments. Many recent studies have focused on power-aware virtual machine allocation or consolidation. However, few research has been done about implementation of power-aware schedulers in VMM (Virtual Machine Monitor). In this paper, we provide a prototype design for power-aware schedulers in RT-Xen hypervisor. The proposed system is based on compositional real-time scheduling framework which provides a method to abstract each virtual machine into a single component. The proposed prototype includes how to transmit VM real-time requirements into VMM and dynamic frequency control based on those requirements. Throughout the experiments, we analyze the proposed prototype and show the performance evaluation.
  • Keywords
    cloud computing; computer centres; operating system kernels; performance evaluation; power aware computing; real-time systems; resource allocation; scheduling; virtual machines; RT-Xen hypervisor; VMM; cloud computing environments; data centers; discrete DVFS systems; performance evaluation; power-aware computing; power-aware schedulers; real-time virtual machine schedulers; virtual machine monitor; Cathode ray tubes; Computational modeling; Processor scheduling; Prototypes; Real-time systems; Virtual machine monitors; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5078-2
  • Type

    conf

  • DOI
    10.1109/DASC.2014.88
  • Filename
    6945733