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Fog Computing for Delay Minimization and Load Balancing

Author

Listed:
  • Waseem Akram

    (Jammu University, India)

  • Zahoor Najar

    (Central University of Kashmir, India)

  • Abid Sarwar

    (Jammu University, India)

  • Iraq Ahmad Reshi

    (Islamic University of Science and Technology, India)

Abstract

Cloud is used to store and process data at a very high rate. Moreover, nearly everyone in this world is using the cloud. However, the problem arises that the data centers are not positioned well. The data reach the cloud by passing through the various links, due to which more delays occur. So this world is now moving into fog. Fog computing provides us the capability to process data nearer to the IoT devices. During the past decade, IoT devices have been growing rapidly, resulting in the production of a tremendous amount of data every day. For the processing of this ever-growing data, efficient algorithms are required to reduce the load on the cloud and give the results in a faster and more precise manner. The processing should be done on the fog node to handle this issue. In this paper, the authors study load balancing on fog nodes with a novel technique so that they distribute the load among different fog nodes so that none of the fog nodes remains idle while other takes time for processing the data.

Suggested Citation

  • Waseem Akram & Zahoor Najar & Abid Sarwar & Iraq Ahmad Reshi, 2022. "Fog Computing for Delay Minimization and Load Balancing," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 12(1), pages 1-16, January.
    • Handle: RePEc:igg:jcac00:v:12:y:2022:i:1:p:1-16
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