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Multi-Layer Fog-Cloud Architecture for Optimizing the placement of iot applications in Smart Cities

Computers, Materials & Continua 2023年第4期75卷 633-649页

作者： Mohammad Aldossary Department of Computer Science College of Arts and SciencePrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia

In the smart city paradigm, the deployment of Internet of Things(iot) services and solutions requires extensive communication and computingresources to place and process iot applications in real time, which consumesa lot of energy and increases operational costs. Usually, iot applications areplaced in the cloud to provide high-quality services and scalable ***, the existing cloud-based approach should consider the above constraintsto efficiently place and process iot applications. In this paper, anefficient optimization approach for placing iot applications in a multi-layerfog-cloud environment is proposed using a mathematical model (Mixed-Integer Linear Programming (MILP)). This approach takes into accountiot application requirements, available resource capacities, and geographicallocations of servers, which would help optimize iot application placementdecisions, considering multiple objectives such as data transmission, powerconsumption, and cost. Simulation experiments were conducted with variousiot applications (e.g., augmented reality, infotainment, healthcare, andcompute-intensive) to simulate realistic scenarios. The results showed thatthe proposed approach outperformed the existing cloud-based approach interms of reducing data transmission by 64% and the associated processingand networking power consumption costs by up to 78%. Finally, a heuristicapproach was developed to validate and imitate the presented approach. Itshowed comparable outcomes to the proposed model, with the gap betweenthem reach to a maximum of 5.4% of the total power consumption.

关键词： iot application placement fog-cloud computing power consumption data transmission optimization smart cities

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