• DocumentCode
    654192
  • Title

    Load Balancing in Cloud Computingusing Modified Throttled Algorithm

  • Author

    Domanal, Shridhar G. ; Reddy, G.R.M.

  • Author_Institution
    Dept. of Inf. Technol., Nat. Inst. of Technol. Karnataka, Mangalore, India
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Load balancing is one of the critical components for efficient operations in the cloud computing environment. In recent years many clients from all over the world are demanding the various services at rapid rate. Many algorithms have been designed to carry out the client´s request towards the cloud nodes. Accordingly the cloud computing platform will dynamically configure its servers and these servers may be present physically or virtually in the computing environment. Hence, selecting the virtual machines or servers has to be scheduled properly by using an appropriate load balancing approach. In the present work, a local optimized load balancing approach is proposed for distributing of incoming jobs uniformly among the servers or virtual machines. Further, the performance is analyzed using CloudAnalyst simulator and compared with existing Round Robin and Throttled algorithms. Simulation results have demonstrated that the proposed algorithm has distributed the load uniformly among virtual machines.
  • Keywords
    cloud computing; resource allocation; virtual machines; CloudAnalyst simulator; cloud computing; load balancing; modified throttled algorithm; round robin algorithm; throttled algorithm; virtual machines; virtual servers; Algorithm design and analysis; Cloud computing; Indexes; Load management; Servers; Time factors; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing in Emerging Markets (CCEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4799-0027-5
  • Type

    conf

  • DOI
    10.1109/CCEM.2013.6684434
  • Filename
    6684434