• DocumentCode
    3564171
  • Title

    Subgraph Matching for Resource Allocation in the Federated Cloud Environment

  • Author

    Aral, Atakan ; Ovatman, Tolga

  • Author_Institution
    Dept. of Comput. Eng., Istanbul Tech. Univ. Istanbul, Istanbul, Turkey
  • fYear
    2015
  • Firstpage
    1033
  • Lastpage
    1036
  • Abstract
    Federated clouds and cloud brokering allow migration of virtual machines across clouds and even deployment of cooperating VMs in different cloud data centers. In order to fully benefit from these new opportunities, we propose a heuristic that outputs a matching between virtual machine and cloud data centers by taking resource capacities, VM topologies, performance and resource costs into account. Results of our initial evaluation using the CloudSim Framework indicate that, proposed heuristic is promising for a better optimized placement of networked VM groups onto the federated cloud topology.
  • Keywords
    cloud computing; computer centres; graph theory; resource allocation; virtual machines; CloudSim framework; VM topologies; cloud brokering; cloud data centers; federated cloud environment; resource allocation; resource capacities; subgraph matching; virtual machines; Bandwidth; Cloud computing; Computational modeling; Data models; Delays; Resource management; Topology; federated clouds; resource allocation; resource mapping; subgraph matching; virtual machine placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
  • Print_ISBN
    978-1-4673-7286-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2015.145
  • Filename
    7214156