• DocumentCode
    2854281
  • Title

    Leveraging Smart-Meters for Initiating Application Migration across Clouds for Performance and Power-Expenditure Trade-Offs

  • Author

    Bose, Sumit Kumar ; Salsburg, Michael A. ; Mithani, Mohammad Firoj

  • Author_Institution
    Global Technol. Center, India Unisys Global Service India, Bangalore, India
  • fYear
    2010
  • fDate
    4-6 Oct. 2010
  • Firstpage
    102
  • Lastpage
    107
  • Abstract
    Smart meters, introduced by smart grid technologies, enable power distribution companies to price electricity differently for different times of the day. Such dynamic pricing schemes help the power companies to modulate the aggregate demand of electricity based on the supply. Accordingly, cloud providers, which are often the largest consumers of electricity, should be able to respond to various dynamic pricing signals called demand response (DR) signals by autonomously moving identified applications to other cloud sites. This paper leverages the recent advancements in cloud migration technologies to ´intelligently´ move applications across geographically distributed cloud sites at runtime after a DR signal is received by the cloud provider. This helps minimize the cost incurred by a cloud provider and yet provide adequate service level guarantees as stated in the service level agreements (SLA). The current work develops models and solution schemes for identifying suitable applications for migration and placing such applications on remote cloud sites to take advantages of pricing schemes such as the time-of-use pricing and real time pricing.
  • Keywords
    electricity supply industry; power meters; demand response signals; power distribution; power-expenditure trade-offs; smart grid technologies; smart meters; Clouds; Electricity; Power demand; Servers; Time factors; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4244-6510-1
  • Type

    conf

  • DOI
    10.1109/SMARTGRID.2010.5622025
  • Filename
    5622025