The Internet of Things (IoT) is undergoing rapid evolution, promising to connect billions of devices in the near future. This technological expansion presents numerous challenges, especially in maintaining diverse Quality of Service (QoS) standards across various applications. Our research introduces an innovative approach to evaluate the performance of the OneM2M platform’s middleware, crucial for the effective management of the expanding IoT landscape. We developed scenarios that simulate heavy load conditions on the platform, utilizing both uniform HTTP traffic and realistic IoT communication patterns. These scenarios aim to rigorously test the platform’s ability to cope with high network loads and genuine IoT operational conditions. Our approach is designed to provide a comprehensive assessment of the OneM2M platform's capability in handling different traffic types and volumes, an essential factor for its deployment in real-world IoT contexts. The results from these evaluations are critical in identifying the strengths and shortcomings of the OneM2M platform under various stress scenarios. These insights are valuable for enhancing the platform’s scalability, efficiency, and adaptability, ensuring that it can maintain robust QoS in the face of complex and dynamic IoT network demands.