Research on Container-based Virtualization in Fog Computing focuses on leveraging lightweight virtualization technologies, such as Docker and Kubernetes, to efficiently deploy, manage, and orchestrate applications and services at the network edge. This area addresses challenges related to resource-constrained fog nodes, heterogeneous hardware, dynamic workloads, and latency-sensitive applications. Key research directions include designing container orchestration frameworks optimized for fog environments, resource-aware and energy-efficient container scheduling and placement, and lightweight isolation and security mechanisms for multi-tenant deployments. Other emerging topics involve hybrid container–VM architectures, fault-tolerant and adaptive container management, service migration and live container migration for mobility support, and integration with edge–cloud collaborative frameworks. Additionally, research on QoS-aware container deployment, monitoring and auto-scaling strategies, and container-based microservices for IoT and latency-critical applications represents significant avenues for advancing scalable, efficient, and resilient fog computing infrastructures.