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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    OVERCOME LOAD BALANCING PROBLEM BY WEIGHT BASED SCHEME ON CLOUD
    Nisha Kumari Uparosiya1, Mr. Ajay Kumar2
    Journal of Data Acquisition and Processing, 2023, 38 (2): 393-404 . 

    Abstract

    The use of cloud computing technology may allow hosts on the internet to have their needs met. Cloud computing may be used to share or consume the resource. Instead of creating or maintaining additional organisational infrastructure, a resource like a virtual machine might be utilised for storage or as an application. Via a pool of shared resources, including servers, storage applications, and other resources, the cloud computing architecture offers on-demand access to resources. As these resources are readily available and distributable, many individuals may get services. In order to provide these users with complete access to resources, the businesses ensure that they have access to the cloud computing capabilities linked to the storage applications. The movement of virtual computers, which happens anytime there is network uncertainty, is the major issue with cloud computing. Heavy resource utilisation causes the virtual machine to become overloaded, which increases how long cloudlets take to execute. The threshold strategy, which distributes work to the most competent machine and hosts maintain checkpoints on the virtual machines, is shown on the base page. The burden must be distributed to another virtual machine when one is overworked.In this research attempt, a weight-based method of moving cloudlets from one virtual machine to another will be recommended.

    Keyword

    Cloud Computing, Load Balancing,Genetic Algorithm, virtual machine


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ISSN 1004-9037

         

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