PROSPECTS FOR THE USE OF FLYING CLOUD, BOUNDARY AND FOG COMPUTING BY COMPONENTS OF MONITORING SYSTEMS OF POTENTIALLY DANGEROUSE OBJECTS
DOI:
https://doi.org/10.26906/SUNZ.2022.4.145Keywords:
cloud computing, edge computing, fog computing, unmanned aerial vehicles, cloud technologies, artificial intelligence, monitoring system, potentially dangerous objectAbstract
The article provides a comparative analysis of the technologies of flying cloud computing (FCC), flying edge computing (FEC), and flying fog computing (FFC). Features of systems built using these technologies are shown and the advantages and disadvantages of the technologies are determined. Variants of FCC, FEC, and FFC organization schemes were considered. The expediency is substantiated and the option of utilizing FCC, FEC, and FFC by components of the monitoring system (MS) for the potentially dangerous object (PDO) with unmanned aerial vehicles (UAVs) is proposed. The prospects for using artificial intelligence (AI) methods by the subsystems of the components of the MS PDO were evaluated. A variant of using AI methods is proposed to expand the capabilities of FCC, FEC, and FFC during the execution of MS PDO tasks on offloading calculations, resource allocation, decision-making support, ensuring safety, and UAV path planning.Downloads
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