• DocumentCode
    234305
  • Title

    The load balancing improvement of a data center by a hybrid algorithm in cloud computing

  • Author

    Fahim, Youssef ; Ben Lahmar, Elhabib ; Labriji, El Houssine ; Eddaoui, Ahmed ; Ouahabi, Sara

  • Author_Institution
    Lab. of Inf. Technol. & Modeling, Hassan II Univ. - Mohammedia, Casablanca, Morocco
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    The static load balancing algorithms, share the client query between virtual machines in a data center for the processing. But, there is a problem when it comes to the current load of each virtual machine. The dynamic algorithms as "Efficient Response Time Load Balancer" and "Mini time processing load balancer" prove to be a solution to respond to this problem. The advantage of these algorithms, before allocating a task, is that they search in the allocation tables on the virtual machine, with a metric which is quite inferior (be it the response time or the processing time). In this paper, we propose a new improvement of the load balancing by our hybrid algorithm, that takes into account, the current load of the virtual machine of a data center and the status of its tasks during execution, in order to overcome the problems caused by the static algorithms. The hybrid algorithm allows cloud service providers, to improve the performance, availability and maximize the use of virtual machines in their data centers.
  • Keywords
    cloud computing; computer centres; resource allocation; virtual machines; cloud computing; cloud service providers; data center load balancing improvement; hybrid algorithm; virtual machine; Algorithm design and analysis; Handheld computers; Heuristic algorithms; Load management; Search problems; Time factors; Virtual machining; Cloud computing; Data center; Hybrid algorithm; Load balancing; Virtual machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
  • Conference_Location
    Tetouan
  • Print_ISBN
    978-1-4799-5978-5
  • Type

    conf

  • DOI
    10.1109/CIST.2014.7016608
  • Filename
    7016608