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    Fog and cloud load balancing using regression based reccurent deep learning algorithm
    (Institute of Electrical and Electronics Engineers Inc., 2022) Jameel, Eftekhar Jumaah; Ibrahim, Abdullahi
    Fog computing has been studied by a variety of academics, and they have identified concerns which need to be solved. It is the primary goal of this project to build and execute an energy conscious load balancer that will reduce energy usage and help in the distribution of loads. In order to test the method that was created, establishing a fog computing platform By assigning a job and assessing the outcomes, the energy-aware load balancing method was found to be effective when it was tested.
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    Öğe
    Fog and cloud load balancing using regression based recurrent deep learning algorithm
    (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022) Jameel, Eftekhar Jumaah; Ibrahim, Abdullahi Abdu
    Fog computing has been studied by a variety of academics, and they have identified concerns which need to be solved. It is the primary goal of this project to build and execute an energy conscious load balancer that will reduce energy usage and help in the distribution of loads. Furthermore, with chips becoming more compact and containing increasingly dense circuitry, the release of energy in the form of heat increases. This means even more energy consumption, as computational components do not operate well at very high temperatures and therefore are cooling systems. In this work we investigate the relative strengths and weaknesses of the different fog and cloud models and structures.