• DocumentCode
    2937344
  • Title

    SLA-Driven Resource Provisioning in the Cloud

  • Author

    Lodde, Andreas ; Schlechter, Antoine ; Bauler, Pascal ; Feltz, Fernand

  • Author_Institution
    Dept. Inf., Syst. et Collaboration (ISC), Centre de Rech. Public Gabriel Lippmann, Belvaux, Luxembourg
  • fYear
    2011
  • fDate
    21-23 Nov. 2011
  • Firstpage
    28
  • Lastpage
    35
  • Abstract
    The common way to purchase computing capacity is to acquire a fix amount of servers which are hosted in a data center. The reserved amount of resources depends on the maximum demand that could occur. This over provisioning of resources is associated with high costs. Cloud providers promise to reduce the costs while guaranteeing always a good performance for the outsourced services. A reducing of the costs can be achieved by a better utilization of the resources for example. To optimize resource utilization while complying to the negotiated Service Level Agreements, the minimum amount of resources has to be determined as exactly as possible. Based on the simulated reprocessing of requests from recent history with different numbers of instances, the optimal number can be found in a short time. Further this work shows that an additional reduction of resources can be achieved by rescheduling the requests before processing.
  • Keywords
    cloud computing; quality of service; resource allocation; SLA-driven resource provisioning; Service Level Agreement; cloud computing; cloud providers; computing capacity; cost reduction; data center; resource utilization optimization; service outsourcing; History; Measurement; Monitoring; Process control; Quality of service; Runtime; Time factors; Atomated Resource Provisioning; Cloud Computing; Quality of Service; SLA Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Cloud Computing and Applications (NCCA), 2011 First International Symposium on
  • Conference_Location
    Toulouse
  • Print_ISBN
    978-1-4577-1667-6
  • Type

    conf

  • DOI
    10.1109/NCCA.2011.12
  • Filename
    6123434