• DocumentCode
    3207055
  • Title

    The dynamic migration model for cloud service resource balancing energy consumption and QoS

  • Author

    He Luo ; Jie Cao ; Yongkang Wang ; Xiaoxuan Hu

  • Author_Institution
    Sch. of Manage., Hefei Univ. of Technol., Hefei, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    6035
  • Lastpage
    6039
  • Abstract
    The data center Energy Consumption (EC) and the user Quality of Service (QoS) are two important influencing factors, which the cloud service provider must balance in the process of providing virtual cloud services resources (VCSR). For the VCSR over-deployment phenomenon happening in cloud computing Infrastructure as a Service (IAAS), a user-oriented deployment constraint of VCSR is proposed, and the definition of user´s Service Level Agreements (SLA) and the energy consumption of data center are also suggested. On the basis of that, the model of dynamic migration of the virtual nodes is given, solved by simulated annealing algorithm. In the experiments, different strategies are compared using CloudSim. The results show that the suggested strategy has advantages on balancing the energy consumption of data center and user´s QoS.
  • Keywords
    cloud computing; computer centres; contracts; power aware computing; quality of service; simulated annealing; virtualisation; CloudSim; IAAS; SLA; VCSR over-deployment phenomenon; cloud computing; cloud service provider; cloud service resource balancing energy consumption; data center; data center energy consumption; dynamic migration model; infrastructure as a service; quality of service; simulated annealing algorithm; user QoS; user service level agreements; user-oriented deployment constraint; virtual cloud service resources; Cloud computing; Data models; Energy consumption; Hard disks; Load modeling; Quality of service; Simulated annealing; Cloud computing; Dynamic consolidation; Service Level Agreements; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161893
  • Filename
    7161893