The increasing variety of domains within the IoT ecosystem demands precise SLAs with adaptable QoS to accommodate the rapid proliferation of connected devices. While the OneM2M standard provides a comprehensive framework, it has not sufficiently addressed QoS issues. To tackle these challenges, we propose an approach tailored to the OneM2M standard, which considers both MQTT and HTTP traffic types and targets three specific SLAs: eHealth, industrial, and transportation. Our approach involves simulating overload scenarios and deploying automated mechanisms based on the MAPE-K framework to alleviate congestion. Additionally, we integrate cloud resources to prevent request wastage and maintain optimal QoS metrics. Through these strategies, we aim to ensure that the system can dynamically adapt to varying traffic conditions and SLA requirements, thereby enhancing overall performance and reliability.