• DocumentCode
    634618
  • Title

    WiP abstract: Intelligent power- and performance-aware tradeoffs for multicore servers in cloud data centers

  • Author

    Caglar, Faruk ; Shekhar, Shashi ; Kyoungho An ; Gokhale, Aniruddha

  • Author_Institution
    Dept. of EECS, Vanderbilt Univ., Nashville, TN, USA
  • fYear
    2013
  • fDate
    8-11 April 2013
  • Firstpage
    241
  • Lastpage
    241
  • Abstract
    Cloud service providers are seeking new solutions for reducing the energy consumption in their data centers. Our work in developing middleware that is integrated with a Virtual Machine Manager (VMM) to lower the energy consumption while maximizing the performance of or minimizing the service level agreement (SLA) violations for applications. To that end our solution leverages techniques such as Dynamic voltage/frequency scaling (DVFS) and server consolidation through live migration of virtual machines from an overloaded host machine to a less-loaded one.
  • Keywords
    cloud computing; computer centres; contracts; middleware; multiprocessing systems; performance evaluation; power aware computing; virtual machines; DVFS; SLA; VMM; WiP; cloud data centers; cloud service providers; dynamic voltage-frequency scaling; energy consumption; intelligent performance-aware tradeoffs; intelligent power-aware tradeoffs; less-loaded machine; middleware; multicore servers; overloaded host machine; server consolidation; service level agreement violation; virtual machine manager; Abstracts; Artificial neural networks; Energy consumption; Middleware; Multicore processing; Servers; Virtual machining; energy; middleware; multicore; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Physical Systems (ICCPS), 2013 ACM/IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • Filename
    6604020
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=634618