The Internet of Things (IoT) has been pervasive in various application domains. With the rapid development of IoT and edge computing, the convergence of these two emerging computing paradigms, i.e., edge-cloud network and IoT, has attracted huge attention from academia and industry.

As a supplement of cloud computing, edge computing enhances the real-time performance of service completion by offloading services to edge servers that are closer to the terminal devices to finish execution, while reducing power consumption and computing load in the cloud. Edge-cloud computing models have shown techniques that move computational and analytics capabilities from centralized data centers where most services have been located to the edge. Network functions between the edge and the cloud can be dynamically provisioned and managed through service APIs. Service-oriented management and computing plays an important role in decision-making processes in our daily life, as well as by applications and services in networking systems, such as edge-cloud IoT. Microservice architectures are increasingly used to simplify engineering, deployment, and management of distributed services in not only cloud-based powerful machines but also in light-weight devices. In this setting, original and cutting-edge advances for service-oriented management and computing in edge-cloud IoT are urgently needed.

This Special Issue aims to attract recent novel advances in this field. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Service discovery, selection, and recommendation in edge-cloud IoT
• Service composition in edge-cloud IoT
• Service quality management in edge-cloud IoT
• Security, privacy, and trust mechanisms in IoT services
• Software service engineering in edge-cloud IoT
• Service-oriented computing in edge-cloud IoT
• Service management in edge-cloud IoT
• Business process service in edge-cloud IoT
• Development and deployment of AI in embedded systems, the IoT, and the cloud
• Multi-agent-based service computing in edge-cloud IoT
• Deep learning-based edge-cloud service discovery and recommendation
• Edge-cloud service intelligent collaboration technology in IoT
• Edge service resource deployment and migration policies in IoT
• Service quality control in edge-cloud IoT
• AI-based trust service computing in edge-cloud IoT