Research on Cloud Computing Infrastructure for IoT Data Processing focuses on designing scalable, efficient, and intelligent cloud architectures to handle the massive volume, velocity, and variety of data generated by Internet of Things (IoT) devices. This area investigates how cloud infrastructures can support real-time data analytics, storage optimization, and secure communication for diverse IoT applications. Key research topics include cloud–edge–IoT integration for latency reduction, distributed and parallel data processing frameworks, adaptive resource provisioning for dynamic IoT workloads, and fault-tolerant architectures for continuous operation. Other emerging directions include AI-enabled IoT data management, serverless computing for event-driven processing, energy-efficient cloud infrastructure design, and secure data sharing using blockchain or federated learning. Additionally, research on optimizing interoperability among heterogeneous IoT devices and enhancing scalability through microservices-based cloud frameworks plays a crucial role in advancing intelligent IoT data ecosystems.