One of the critical features of fog computing is the distribution of resources. This ensures that the resources in the system are effectively managed and used. This, in turn, increases performance and efficiency in the system and improves the user experience. In addition, fog computing can be useful in areas that require maximum network performance, such as broadcasting applications in real-time, integrating with sensor networks, and the Internet of Things. However, the reliability of the Internet infrastructure is of great importance for the reliability and efficiency of these systems. Fog computing is similar to cloud computing; there are also important differences. One of these differences is that data subjects can manage and respond to users more quickly. This article introduces a resource management for fog calculation. The results show that the proposed method improves resource management, efficiency, and service quality of cloud computing. This situation supports that the adoption and use of fog computing is the right decision. Fog computing increases the performance of cloud computing systems and improves service quality by enabling resources to be managed more effectively. This, in turn, provides a better experience for users and helps businesses gain a competitive advantage. These results may encourage the increasing preference and adoption of fog computing.
computing, fog computing, fuzzy control