Cost and QoS Analysis in IoT: An Optimization Approach Based on the OneM2M Standard

Ensuring excellent Quality of Service (QoS) while limiting financial expenses is seriously challenged by the growing scope and complexity of the Internet of Things (IoT). Though established under ETSI, the OneM2M standard provides a consistent middleware foundation but does not include a thorough QoS management technique. This work presents a dynamic optimization method based on the MAPE-K model to solve traffic- and resource-oriented QoS aspects. We balance QoS with operational costs by providing cost modeling—including cloud resource pricing and workload offloading. Supported by mathematical modeling and real-world workload situations, the results show the possibilities of cost-aware QoS techniques for scalable and efficient IoT systems based on the OneM2M standard.