• DocumentCode
    3736870
  • Title

    Orchestration algorithms for network-assisted virtual machine migrations using OpenDayLight Controller

  • Author

    Shamim Ahmed;Barbara Martini;Molka Gharbaoui;Andrea Sgambelluri;SK. Shariful Alam

  • Author_Institution
    University of Trento, Italy
  • fYear
    2015
  • Firstpage
    106
  • Lastpage
    111
  • Abstract
    In the last years, prominent advances in software virtualization (e.g., Hypervisor) have enabled the agile deployment of cloud services and, at the same time, server consolidation operations through agile Virtual Machine (VM) operations (e.g., start-up, snapshot, cloning, and migrations) across Data Center (DC) servers. On the other hand, such advances pose new challenges in the overall management of the DC infrastructure since VM operations may occur much more frequently in virtualized than in legacy DCs and produce not only a computational load on the involved servers, but also a network load on all the switches connecting the servers. In this context, the Software-Defined Network (SDN) paradigm opens up new opportunities to design convergent resource management systems which is able to address the provisioning of cloud services while meeting adequate network performance during VM provisioning and migrations. In this paper, a promising advanced monitoring and resource allocation function for SDN-based DC networks has been proposed aiming at reporting possible suitable paths connecting specified servers that can be exploited for VM migrations. In such a way, network-assisted migrations can be triggered that assure adequate VM migration delays according to specified requirements (e.g., minimum delay for live VM migration) while addressing different management targets (e.g., network load balancing, minimization of energy consumption).
  • Keywords
    "Servers","Cloud computing","Control systems","Bandwidth","Network topology","Topology"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Information and Communication Technology (EICT), 2015 2nd International Conference on
  • Print_ISBN
    978-1-4673-9256-3
  • Type

    conf

  • DOI
    10.1109/EICT.2015.7391931
  • Filename
    7391931