• DocumentCode
    256508
  • Title

    Energy efficient resource management for Cloud Computing Environment

  • Author

    Selmy, H.A. ; Alkabani, Y. ; Mohamed, H.K.

  • Author_Institution
    Dept. of Comput. & Syst. Eng., Ain Shams Univ., Cairo, Egypt
  • fYear
    2014
  • fDate
    22-23 Dec. 2014
  • Firstpage
    415
  • Lastpage
    420
  • Abstract
    Cloud computing is a highly scalable and cost - effective infrastructure for running High Performance Computing, enterprise and Web applications. However, the growing demand of Cloud infrastructure has drastically increased the energy consumption of data centers, which has become a critical issue. Hence, energy efficient solutions are required to minimize this energy consumption. The energy efficient solutions aim at lowering the energy usage of data centers because computing applications and data are growing so quickly that increasingly larger servers and disks are needed to process them fast enough within the required time period so here we reduce the energy consumption by an average of 40% over previously introduced methods. So in datacenters, the number of physical machines can be reduced using virtualization by consolidating virtual machines onto shared servers and enabling them to migrate according to migration policy. This paper presents virtual machines migration and selection policies to boost Cloud Computing Environment energy efficiency and performance.
  • Keywords
    cloud computing; computer centres; energy consumption; resource allocation; virtual machines; virtualisation; cloud computing environment; data center; energy consumption; energy efficient resource management; virtual machine migration; virtualization; Artificial neural networks; Clustering algorithms; Heuristic algorithms; History; Quality of service; Random access memory; Allocation; Cloud Computing; Cluster; Migration; Neural Network; Self Organized Map (SOM); Virtual machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems (ICCES), 2014 9th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4799-6593-9
  • Type

    conf

  • DOI
    10.1109/ICCES.2014.7030997
  • Filename
    7030997