• DocumentCode
    172802
  • Title

    Time-Constrained Live VM Migration in Share-Nothing IaaS-Clouds

  • Author

    Tsakalozos, K. ; Verroios, V. ; Roussopoulos, M. ; Delis, A.

  • Author_Institution
    Univ. of Athens, Athens, Greece
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    56
  • Lastpage
    63
  • Abstract
    Both economic reasons and interoperation requirements necessitate the deployment of IaaS-clouds based on a share-nothing architecture. Here, live VM migration becomes a major impediment to achieving cloud-wide load balancing via selective and timely VM-migrations. Our approach is based on copying virtual disk images and keeping them synchronized during the VM migration operation. In this way, we ameliorate the limitations set by shared storage cloud designs as we place no constraints on the cloud´s scalability and load-balancing capabilities. We propose a special-purpose file system, termed MigrateFS, that performs virtual disk replication within specified time-constraints while avoiding internal network congestion. Management of resource consumption during VM migration is supervised by a low-overhead and scalable distributed network of brokers. We show that our approach can reduce up to 24% the stress of already saturated physical network links during load balancing operations.
  • Keywords
    cloud computing; resource allocation; software architecture; virtual machines; IaaS-clouds; cloud-wide load balancing; internal network congestion; resource consumption management; scalable distributed network; share-nothing architecture; shared storage cloud; time-constrained live VM migration; virtual disk images; Bandwidth; Context; Monitoring; Synchronization; Throughput; Time factors; Virtual machine monitors; IaaS; live migration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5062-1
  • Type

    conf

  • DOI
    10.1109/CLOUD.2014.18
  • Filename
    6973724