Load balancing in cloud computing

  • Authors

    • Sudhir Kumar M
    • P Chakravarthi
    • B Jagadeesh
    • M Sai Prakash
    2017-12-21
    https://doi.org/10.14419/ijet.v7i1.1.9709
  • Balancing Load, Cloud, Storage in Cloud, Partition, Replication.

  • Abstract

    The expected take-up of Cloud, based on settled research in Web administrations, systems, utility figuring, disseminated processing and virtualization, will get many favorable circumstances cost, changeability and approachability for benefit clients. These advantages are foreseen to propel drive the requirements for Cloud organizations, growing both the Cloud's customer base and the extent of Cloud foundations. This has implications for many technical issues in Service Oriented Architectures and Internet of Services (IoS)-type applications; including fault tolerance, large accessibility and adaptability. Focal to these issues will be the stronghold for successful balancing load techniques. Balancing load includes allocating assignments to every processor and limiting the time for the execution program. Practically speaking, it will be conceivable even to execute the applications on any machine of overall distributed frameworks. We are going to talk the possible distributed solutions proposed for balancing load and pros and cons of load balancing.

  • References

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  • How to Cite

    Kumar M, S., Chakravarthi, P., Jagadeesh, B., & Sai Prakash, M. (2017). Load balancing in cloud computing. International Journal of Engineering & Technology, 7(1.1), 306-310. https://doi.org/10.14419/ijet.v7i1.1.9709

    Received date: 2018-02-25

    Accepted date: 2018-02-25

    Published date: 2017-12-21