• DocumentCode
    3275211
  • Title

    ACRUM: An adaptive cloud resource utilization model

  • Author

    Jinghe Huo ; Shifeng Shang ; Zeng Zhang

  • Author_Institution
    Dept. of Inf. Eng., Acad. of Armored Forces Eng., Beijing, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    275
  • Lastpage
    278
  • Abstract
    Cloud computing provides an elastic, on-demand and high cost-efficient resource allocation model for task executions. Cloud resource provider cloud offers computing resource, typically in the form of virtual machines. During task execution, the load will change from time to time and therefore, it becomes an interesting topic to optimize resource utilization in the cloud computing environment. In this paper, a framework is proposed that can adaptively use cloud resources. After users specify the desired service goal to achieve, the proposed framework then monitors the task execution, and utilizes different pricing models to add or release cloud resources according to the change of cloud resource utilization rate. Experimental result shows that the cost of task execution is reduced greatly.
  • Keywords
    cloud computing; resource allocation; ACRUM; adaptive cloud resource utilization model; cloud computing; cloud resource utilization rate; pricing model; resource allocation model; virtual machine; Adaptation models; Computational modeling; Databases; Monitoring; Resource management; Societies; Standards; Adaptive Utilization; Cloud Computing; Model; Resource;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615304
  • Filename
    6615304