• Baydaa Hassan Husain
  • [email protected]
  • 0750 759 0263
  • Resource Scheduling in Fog Computing final-2071294e
  • One of the most remarkable innovative ideas in recent technology
    advancement is fog computing. It addresses a number of cloud computing
    shortcomings by bringing computation, storage, and actual services closer to end
    users. However, the majority of fog devices are resource restricted. As a result,
    without efficient resource scheduling, leveraging the benefits of fog computing
    is challenging.
    The idea of resource scheduling is to select the most suitable resources
    for the applicant in order to accomplish the best scheduling target. The majority
    of the recent studies have been on expanding the number of fog nodes in order to
    improve the available resources. This has led to the emergence of a number of
    other problems such as increasing the cost and amount of energy consumed.
    Therefore, the aim of this thesis is to propose a scheduling system that will
    schedule the available resources in the fog layer and distribute them according to
    the required tasks without the need to increase these nodes. It has an extra layer,
    Master Fog (MF), between the cloud and general-purpose fogs, referred to as
    Citizen Fog (CF). The MF is responsible of task execution in CFs and the cloud.
    The Comparative Attributes Algorithm (CAA) is used to prioritize jobs, and the
    Linear Attribute Summarized Algorithm (LASA) is used to choose the most
    available CF with the highest computational resources. To analyze the proposed
    solution, iFogSim was used to create a simulation architecture and environment.
    The final results indicate a noticeable scheduling of available sources
    represented by an increase in bandwidth by 14%, in addition to an increase in
    processing speed by 34%. On the other hand, there was a reduction in RAM
    consumed by approximately 14%, in addition to a reduction in energy consumed
    by approximately 14%.

  • Erbil Technical Engineering College
  • Information Systems Engineering Department
  • Networking

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