• DocumentCode
    13636
  • Title

    Greening the cloud using renewable-energy-aware service migration

  • Author

    Mandal, Uttam ; Habib, M. ; Shuqiang Zhang ; Mukherjee, Biswanath ; Tornatore, Massimo

  • Author_Institution
    Univ. of California, Davis, Davis, CA, USA
  • Volume
    27
  • Issue
    6
  • fYear
    2013
  • fDate
    November-December 2013
  • Firstpage
    36
  • Lastpage
    43
  • Abstract
    Cloud computing is the new paradigm of operation in information technology. While cloud computing infrastructures have benefits, their energy consumption is becoming a growing concern. Data centers, which are used to provide the infrastructure and resource pool for cloud computing, consume a large amount of energy. Future energy consumption predictions of these data centers are even bigger concerns. To reduce this energy consumption, and hence the carbon footprint and greenhouse gas emission of cloud computing, and information technology in general, energy-efficient methods of operation have to be investigated and adopted. In addition, renewable energy usage in place of non-renewable can also reduce carbon emission. However, due to its intermittency and volatility, renewable energy cannot be used to its full potential. In this study, we introduce the renewable-energy- aware cloud service and virtual machine migration to relocate energy demand using dynamic and flexible cloud resource allocation techniques, and help overcome the challenges of renewable energy. Results from a U.S.-wide cloud network infrastructure show that, using simple migration techniques, up to 30 percent nonrenewable energy can be replaced by renewable energy, while consuming only a small amount of extra resources and energy to perform demand relocation.
  • Keywords
    cloud computing; computer centres; energy consumption; green computing; virtual machines; US-wide cloud network infrastructure; carbon footprint; cloud computing infrastructures; cloud greening; data centers; energy consumption; energy demand relocation; energy-efficient operation methods; flexible cloud resource allocation techniques; greenhouse gas emission; information technology; renewable-energy-aware service migration; virtual machine migration; Cloud computing; Energy consumption; Green computing; Information technology; Power demand; Renewable energy sources;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2013.6678925
  • Filename
    6678925