• DocumentCode
    238832
  • Title

    Energy-efficient approaches to Cloud computing

  • Author

    Asha, N. ; Rao, G. Raghavendra

  • Author_Institution
    Dept. of PG studies in Comput. Eng. & Applic., Nat. Inst. of Eng., Mysore, India
  • fYear
    2014
  • fDate
    27-29 Nov. 2014
  • Firstpage
    337
  • Lastpage
    342
  • Abstract
    Enterprises are looking forward to adopt cutting edge innovative technologies that could cut costs and maximize value. Cloud is getting into every Business, Industry and Enterprise applications ensuring economic and agility benefits. While Cloud seems to be disruptive, it´s still a long way to go to completely materialize the Cloud. Cloud computing envisions that services, platforms and computing resources can be provided, on-demand, in a self-service fashion by a set of cooperating and/or competing providers to clients over the Internet. The emergence of cloud computing stems from the availability of numerous massive data centers, improvements in virtualization technologies and the availability and abundance of high speed networks. A large-scale computing infrastructure consumes enormous amounts of electrical power leading to operational costs not only exceed the cost of the infrastructure, also reflects on its carbon footprint. Green Cloud computing solution is needed that saves energy for the environment. This paper surveys techniques and solutions that aim to improve the energy efficiency of computing resources. It discusses methods to evaluate and model the energy consumed by these resources, and describes techniques that operate at a distributed system level, trying to improve aspects such as resource allocation.
  • Keywords
    cloud computing; green computing; power aware computing; resource allocation; carbon footprint; cloud computing; competing providers; computing resources; cooperating providers; data centers; distributed system level; electrical power consumption; energy efficiency improvement; energy saving; energy-efficient approaches; green cloud computing; high-speed networks; infrastructure cost; large-scale computing infrastructure; operational costs; platform resource; resource allocation; self-service method; service resource; virtualization technology improvement; Cloud computing; Energy consumption; Energy efficiency; Hardware; Program processors; Servers; Energy efficiencyt; communication; computing; distributed system; power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing and Informatics (IC3I), 2014 International Conference on
  • Conference_Location
    Mysore
  • Type

    conf

  • DOI
    10.1109/IC3I.2014.7019772
  • Filename
    7019772