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Implementing the ACO Algorithm and Fog Nodes for Efficient Resource and Energy Allocation in Cloud Computing

Author

Listed:
  • Abdulsalam Bouaisha

    (Altinbas University, Department of Electrical and Computer engineering, Istanbul, Turkey)

  • Salima Abozho

    (Altinbas University, Department of Electrical and Computer engineering, Istanbul, Turkey)

  • Asma Al-Hdar

    (Altinbas University, Department of Electrical and Computer engineering, Istanbul, Turkey)

  • Abdullahi Ibrahim

    (Altinbas University, Department of Electrical and Computer engineering, Istanbul, Turkey)

Abstract

Even if it takes place inside the context of a service, the user is the one who is accountable for the trip that the information takes to and from the cloud. The cloud administrator, on the other hand, is the one who is responsible for supplying the required computing resources. According to the findings of the research, this is still the case in spite of the fact that the trip takes place. We suggest using swarm intelligence in conjunction with fog nodes in order to transfer data to and from the cloud via the path that is determined to be the most efficient. This is due to the fact that the process of resource providing calls for a strategy that consists of numerous levels, with each layer representing a different type of resource that may be delivered in a number of different ways.

Suggested Citation

  • Abdulsalam Bouaisha & Salima Abozho & Asma Al-Hdar & Abdullahi Ibrahim, 2022. "Implementing the ACO Algorithm and Fog Nodes for Efficient Resource and Energy Allocation in Cloud Computing," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 46-49, December.
    • Handle: RePEc:rfh:jprjor:v:8:y:2022:i:4:p:46-49
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