• DocumentCode
    668363
  • Title

    Research for the virtual machine-oriented cloud resource scheduling algorithm

  • Author

    Youchan Zhu ; Huili Liang

  • Author_Institution
    Inf. & Network Manage. Center, North China Electr. Power Univ., Baoding, China
  • Volume
    1
  • fYear
    2013
  • fDate
    23-24 Nov. 2013
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    Resource scheduling for the virtual machine is a major research direction of cloud computing. To overcome the defects of the cloud computing data centre in resource management, and ensure that the cloud computing can supply better QoS service, the ant colony optimization, ACO(Ant Colony Optimization) will be applied to the cloud resource scheduling according to the actual QoS(Quality of Service) parameters requirement of the environment for the cloud computing. The simulation experiment indicates that the method can solve some problems to a certain extent, such as increase the usage of the cloud computing resource and reduce the computing time etc.
  • Keywords
    ant colony optimisation; cloud computing; computer centres; quality of service; resource allocation; scheduling; virtual machines; ACO; QoS service; ant colony optimization; cloud computing data centre; computing time reduction; quality of service parameters; resource management; virtual machine-oriented cloud resource scheduling algorithm; Ant colony optimization; Bandwidth; Cities and towns; Cloud computing; Processor scheduling; Quality of service; Virtual machining; ACO; QoS; Resource scheduling; Virtual machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2013 6th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-3985-5
  • Type

    conf

  • DOI
    10.1109/ICIII.2013.6702893
  • Filename
    6702893