• DocumentCode
    1708078
  • Title

    RT-Open Stack: CPU Resource Management for Real-Time Cloud Computing

  • Author

    Sisu Xi ; Chong Li ; Chenyang Lu ; Gill, Christopher D. ; Meng Xu ; Phan, Linh T. X. ; Lee, Insup ; Sokolsky, Oleg

  • Author_Institution
    Cyber-Phys. Syst. Lab., Washington Univ. in St. Louis, St. Louis, MO, USA
  • fYear
    2015
  • Firstpage
    179
  • Lastpage
    186
  • Abstract
    Clouds have become appealing platforms for not only general-purpose applications, but also real-time ones. However, current clouds cannot provide real-time performance to virtual machines (VMs). We observe the demand and the advantage of co-hosting real-time (RT) VMs with non-real-time (regular) VMs in a same cloud. RT VMs can benefit from the easily deployed, elastic resource provisioning provided by the cloud, while regular VMs effectively utilize remaining resources without affecting the performance of RT VMs through proper resource management at both the cloud and the hyper visor levels. This paper presents RT-Open Stack, a cloud CPU resource management system for co-hosting real-time and regular VMs. RT-Open Stack entails three main contributions: (1) integration of a real-time hyper visor (RT-Xen) and a cloud management system (Open Stack) through a real-time resource interface, (2) a real-time VM scheduler to allow regular VMs to share hosts with RT VMs without interfering the real-time performance of RT VMs, and (3) a VM-to-host mapping strategy that provisions real-time performance to RT VMs while allowing effective resource sharing with regular VMs. Experimental results demonstrate that RT-Open Stack can effectively improve the real-time performance of RT VMs while allowing regular VMs to fully utilize the remaining CPU resources.
  • Keywords
    cloud computing; virtual machines; CPU resource management; RT-Open Stack; cloud CPU resource management system; real-time cloud computing; virtual machines; Admission control; Cloud computing; Real-time systems; Resource management; Scheduling; Servers; Virtual machine monitors; openstack; rt-xen; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4673-7286-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2015.33
  • Filename
    7214043