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Title	Optimizing Service Caching In Smart Buildings: A Dynamic Approach For Responsive Iot And Edge Computing Integration In Smart Cities
ID_Doc	40875
Authors	Harrabi M.; Hamdi A.; Bel Hadj Tahar J.
Year	2024
Published	Frontiers in Communications and Networks, 5
DOI	http://dx.doi.org/10.3389/frcmn.2024.1467812
Abstract	Introduction: This paper introduces a novel approach for optimizing service caching in smart buildings through the integration of Internet of Things (IoT) and edge computing technologies. Traditional cloud-based solutions suffer from high latency and resource consumption, which limits the performance of smart city applications. Methods: The proposed solution involves a dynamic crowdsourcing and caching algorithm that leverages IoT gateways and edge servers. This algorithm reduces latency and enhances responsiveness by prioritizing services for caching based on a newly developed efficiency metric. The metric takes into account cloud and edge-computed response times, memory usage, and service popularity. Results: Experimental results show a reduction in average response time (ART) by up to 25% and a 15% improvement in resource utilization compared to traditional cloud-based methods. Discussion: These findings underscore the potential of the proposed approach for resource-constrained environments and its suitability for smart city infrastructures. The results provide a foundation for further advancements in edge-based service optimization in smart cities. Copyright © 2024 Harrabi, Hamdi and Bel Hadj Tahar.
Author Keywords	cloud computing; edge computing; gateway; IoT; optimization; service caching; smart buildings

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