• DocumentCode
    2661098
  • Title

    Fastrack for taming burstiness and saving power in multi-tiered systems

  • Author

    Caniff, Andrew ; Lu, Lei ; Mi, Ningfang ; Cherkasova, Ludmila ; Smirni, Evgenia

  • Author_Institution
    Comput. Sci. Dept., Coll. of William & Mary, Williamsburg, VA, USA
  • fYear
    2010
  • fDate
    7-9 Sept. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Burstiness (i.e., sudden surges) in user demands in enterprise systems that operate under the multi-tiered paradigm is a common phenomenon that leads to overprovisioning: the system is configured with excess hardware to meet peak user demands, often resulting in excessive (and unnecessary) power costs. In this paper, we present Fastrack, a parameter-free algorithm for dynamic resource provisioning that uses simple statistics to promptly distill information about changes in workload burstiness. This information, coupled with the application´s end-to-end response times and system bottleneck characteristics, guides resource allocation, which proves to be effective under a broad variety of application burstiness profiles and bottleneck scenarios. Extensive simulations illustrate Fastrack´s robustness for consistently meeting predefined service level objectives while minimizing power usage.
  • Keywords
    power aware computing; resource allocation; statistical analysis; burstiness taming; dynamic resource provisioning; end-to-end response times; enterprise system; fastrack; multitiered system; parameter-free algorithm; power saving; resource allocation; statistics; system bottleneck characteristics; Dispersion; Indexes; Resource management; Servers; Surges; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Teletraffic Congress (ITC), 2010 22nd International
  • Conference_Location
    Amsterdam
  • Print_ISBN
    978-1-4244-8837-7
  • Electronic_ISBN
    978-1-4244-8835-3
  • Type

    conf

  • DOI
    10.1109/ITC.2010.5608741
  • Filename
    5608741