en عمومى General پژوهشي Research <span style="font-size:12pt"><span style="line-height:115%"><span style="font-family:Aptos,sans-serif"><span lang="EN-US" new="" roman="" style="font-family:" times="">With the proliferation of Internet of Things (IoT) devices, predicted to reach 75 billion by 2025, dynamic resource management in Fog Nodes faces challenges in delay-sensitive applications such as smart cities and autonomous vehicles. This paper presents a hybrid framework that integrates the Firefly Optimization Algorithm (FFO) for Virtual Machine (VM) migration and the Min-Min algorithm for rapid convergence probability with fog computations. Instead of generating a completely random population, a chromosome is generated using the greedy Min-Min algorithm, providing a high-quality initial solution, while FFO optimizes resource allocation and VM migration. Simulations on the dataset showed that the proposed method -- based on the Min-Min algorithm and the FFO algorithm for VM migration -- decisively confirms its effectiveness in IoT Fog Nodes. This method reduces energy consumption by up to 44.39%, VM migration by up to 72.34%, the number of active hosts by up to 34.36%, and improves delay by 25% compared to FFD baselines. Such performance not only establishes a multi-objective balance between energy, stability, and Quality of Service (QoS) in delay-sensitive applications like smart cities and autonomous vehicles but also fills the gap of integrating dynamic topology and resource management in the literature and provides a scalable solution for green 5G computing. Despite limitations such as dependency on simulation, it is suggested.</span></span></span></span> Firefly Optimization, Min-Min Algorithm, Fog Computing, Dynamic Resource, Management, Internet of Things, VM Migration. 31 41 http://ijorlu.lahijan.iau.ir/browse.php?a_code=A-10-30-5&slc_lang=en&sid=1 V. Mokhtari vahid.mokhtari@gmail.com 10031947532846002324 10031947532846002324 No Department of Computer, Qe.C., Islamic Azad University, Qeshm, Iran N. Mikaeilvand nasser.mikaeilvand@iau.ac.ir 10031947532846002325 10031947532846002325 Yes Department of Computer Science and Mathematics, CT.C., Islamic Azad University, Tehran, Iran. A. Mirzaei A.mirzaei@iau.ac.ir 10031947532846002326 10031947532846002326 No Department of Computer Engineering, Ard.C., Islamic Azad University, Ardabil, Iran. B. Nouri-Moghaddam bob.nourim@iau.ac.ir 10031947532846002327 10031947532846002327 No Department of Computer Engineering, Ard.C., Islamic Azad University, Ardabil, Iran S. Jahanbakhsh Gudakahriz 1621957357@iau.ac.ir 10031947532846002328 10031947532846002328 No Department of Computer Engineering, Germi.C., Islamic Azad University, Germi, Iran