• DocumentCode
    1599130
  • Title

    HTV Dynamic Load Balancing Algorithm for Virtual Machine Instances in Cloud

  • Author

    Bhatia, J. ; Patel, T. ; Trivedi, H. ; Majmudar, V.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nirma Univ., Ahmedabad, India
  • fYear
    2012
  • Firstpage
    15
  • Lastpage
    20
  • Abstract
    Cloud computing is defined as a structured model that defines computing services, in which resources as well as data are retrieved from cloud service provider via internet through some well formed web-based tool and application. It provides the on demand services for various applications and infrastructure to the user. Cloud service providers are required to provide the service efficiently and effectively. For that, a cloud provider utilizes all the resource from the node. Thus, the node that are meant for creating a task in the cloud computing must be considered for efficient usage of the available resources. Resources have to be properly selected according to the properties of the task. By analyzing the present research on cloud computing, we have come to the most common and important issue of load balancing. Load balancing has always been a research subject whose objective is to ensure that all computing resources are distributed efficiently and fairly. As the numbers of users are increasing on the cloud, the load balancing has become the challenge for the cloud provider. Load balancing being subject of research, we have proposed an algorithm for load balancing which will work dynamically for optimal usage of resource utilization. We have compared our algorithm with various existing static load balancers as well as conventional dynamic load balancer also.
  • Keywords
    cloud computing; resource allocation; virtual machines; HTV dynamic load balancing algorithm; Internet; Web-based tool; cloud computing; cloud service provider; resource utilization; virtual machine instances; Cloud computing; Heuristic algorithms; Load management; Resource management; Round robin; Servers; Time factors; Resourece Allocation; Scheduling; cloud computing; load Balancing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Services Computing (ISCOS), 2012 International Symposium on
  • Conference_Location
    Mangalore
  • Print_ISBN
    978-1-4673-4854-6
  • Type

    conf

  • DOI
    10.1109/ISCOS.2012.25
  • Filename
    6481229