• DocumentCode
    3657158
  • Title

    A Virtual Machine Resource Management Method with Millisecond Precision

  • Author

    Yu Kaneko;Toshio Ito;Tomonori Maegawa

  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    223
  • Lastpage
    226
  • Abstract
    There are several research projects ongoing to apply cloud computing to industrial systems. The main focus of them is real-time performance of virtual machines (VMs) since it is important to guarantee a time-critical feature of industrial systems. However, there is another important issue that how much computing resource (CPU, memory, etc.) should be allocated to each VM which runs processes of an industrial system. In this paper, we propose a resource management method which manages VM resources with millisecond precision. In the proposed method, resource usage is measured and predicted, considering several microseconds allocation delay of Xen. Our experimental results show that the proposed method can guarantee 99% operation timing with higher CPU utilization in comparison with conventional resource management methods.
  • Keywords
    "Resource management","Delays","Real-time systems","Cloud computing","Crawlers","Conferences"
  • Publisher
    ieee
  • Conference_Titel
    Autonomic Computing (ICAC), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICAC.2015.24
  • Filename
    7266969