Finding the Optimal Number of Computing Containers in IoT Systems: Application of Mathematical Modeling Methods

The integration of computing containers into Internet Things (IoT) systems created a lot challenges and opportunities in the connected devices cloud industries. In this paper, author proposed mathematical modeling method to analyze optimize deployment an IoT-based ecosystem. By implementing techniques, such as queuing theory, optimization algorithms, statistical analysis, we aim address key concerns related resource allocation, workload distribution, performance optimization. Proposed models take dynamic nature IoT system, considering factors real-time data streams varying workloads for satisfaction scalability requirements. aids identifying optimal placement strategies containers, ensuring efficient utilization balancing across network.