Resource Allocation in Edge and Cloud Computing to Serve IoT Devices: An Analysis Towards 6G

• Samuel Moreira Abreu Araújo UFSJ
• Mayron César de Oliveira Moreira UFLA / UFMG
• Geraldo Robson Mateus UFMG

DOI: https://doi.org/10.5753/sbrc.2024.1307

Abstract

Internet of Things (IoT) devices currently require fast processing, and Edge Computing (EC) and Cloud Computing (CC) technologies are employed for this purpose. This article introduces a definition and mathematical model for integrating IoT, EC, and CC sensors in Smart City environments. The model permits that, if necessary, sensor demands can be processed in CC servers rented on demand. Additionally, a study is presented on the generations of communication technologies, up to 6G. In computational experiments, considering these technologies, when adopting 6G technology, the end-to-end delay in addressing the demand of a sensor is ≈ 9ms, significantly lower compared to 4G technology ( ≈ 410ms). Furthermore, the cost-minimizing objective function managed to reduce them by up to approximately 123.81% compared to the function that minimizes end-to-end delays.

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