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ORIGINAL RESEARCH article

Front. Comms. Net.
Sec. IoT and Sensor Networks
Volume 5 - 2024 | doi: 10.3389/frcmn.2024.1467812

Optimizing Service Caching in Smart Buildings: A Dynamic Approach for Responsive IoT and Edge Computing Integration in Smart Cities

Provisionally accepted
Mokhtar Harrabi Mokhtar Harrabi 1,2*Abdelaziz Hamdi Abdelaziz Hamdi 2Jamel Bel Jamel Bel 3
  • 1 Institute of Higher Studies in Sousse, Sousse, Tunisia
  • 2 Institut SupĂ©rieur d'Informatique et des Technologies de Communication, Sousse, Tunisia
  • 3 2NOOCCS Research Lab, ENISO University of Sousse, Tunisia, Sousse, Tunisia

The final, formatted version of the article will be published soon.

    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 often experience high latency and resource consumption, limiting the performance of smart city applications. To address these challenges, a dynamic crowdsourcing and caching algorithm is proposed, leveraging IoT gateways and edge servers to reduce latency and improve responsiveness. The algorithm prioritizes services for caching based on a newly developed efficiency metric, which accounts for cloud and edge-computed response times, memory usage, and service popularity. Experimental results demonstrate a reduction in average response time (ART) by up to 25% and a 15% improvement in resource utilization compared to traditional methods. These results highlight the approach's suitability for resource-constrained environments, making it a promising solution for smart city infrastructures and providing a basis for further advancements in edge-based service optimization.

    Keywords: Smart buildings, IoT, Edge computing, service caching, optimization, gateway, Cloud computing

    Received: 20 Jul 2024; Accepted: 05 Nov 2024.

    Copyright: © 2024 Harrabi, Hamdi and Bel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Mokhtar Harrabi, Institute of Higher Studies in Sousse, Sousse, Tunisia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.