• DocumentCode
    3725176
  • Title

    Efficient utilization of virtual machines in cloud computing using Synchronized Throttled Load Balancing

  • Author

    Shikha Garg;Rakesh Kumar Dwivedi;Himanshu Chauhan

  • Author_Institution
    Uttarakhand Technical University Dehradun, India
  • fYear
    2015
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    Cloud computing is an emerging area that offers many potential benefits to various organizations and common user. It is the extended form of distributed computing.. It is based on on-demand-service model in which information, software, infrastructure and other services are provided as per the client requirement at some instance of time. Load balancing is used to distribute workload among multiple cloud systems or nodes to get better resource utilization. It is the prominent means to achieve efficient resource sharing and utilization. Load balancing has become a challenge issue now in cloud computing systems. To meets the users huge number of demands, there is a need of distributed solution because practically it is not always possible or cost efficient to handle one or more idle services. Servers cannot be assigned to particular clients individually. Cloud Computing comprises of a large network and components that are present throughout a wide area. Hence, there is a need of load balancing on its different servers or virtual machines. This research paper proposed an algorithm that focuses on load balancing to reduce the situation of overload or under load on virtual machines that leads to improve the performance of cloud substantially. Comparative analysis is being done with the help of CloudAnalyst tool.
  • Keywords
    "Cloud computing","Virtual machining","Load management","Algorithm design and analysis","Heuristic algorithms","Synchronization","Resource management"
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
  • Type

    conf

  • DOI
    10.1109/NGCT.2015.7375086
  • Filename
    7375086