• DocumentCode
    260468
  • Title

    Hybrid Cloud Placement Algorithm

  • Author

    Unuvar, Merve ; Steinder, Malgorzata ; Tantawi, Asser N.

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2014
  • fDate
    9-11 Sept. 2014
  • Firstpage
    197
  • Lastpage
    206
  • Abstract
    A fully functional hybrid cloud solution requires a placement service to automatically decide whether an application should be deployed on premise, in a public cloud, or across private and public clouds. Such a service must consider application structure and communication patterns, application affinity requirements, which usually result from data protection rules, and deployment costs. In this paper, we propose a hybrid cloud placement approach which addresses these challenges. Our approach considers application requirements, cost, and private cloud capacity. Further, it is tunable to allow for changing application patterns and business objectives and offers a useful trade-off between application QoS and its deployment cost.
  • Keywords
    cloud computing; data protection; quality of service; application affinity requirements; application structure; communication patterns; data protection rules; deployment costs; fully functional hybrid cloud solution; hybrid cloud placement algorithm; placement service; private cloud capacity; public cloud; Bandwidth; Cloud computing; Equations; Mathematical model; Optimization; Quality of service; Silicon; QoS; application deployment; hybrid cloud; optimization; placement policies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2014 IEEE 22nd International Symposium on
  • Conference_Location
    Paris
  • ISSN
    1526-7539
  • Type

    conf

  • DOI
    10.1109/MASCOTS.2014.33
  • Filename
    7033655