Recent research in Container Computing emphasizes enhancing performance, scalability, and portability of cloud applications using lightweight containerization technologies such as Docker and Kubernetes. Studies focus on improving container orchestration, scheduling, and migration to optimize resource utilization and reduce deployment latency in large-scale cloud environments. Researchers also explore security and isolation mechanisms to mitigate vulnerabilities in multi-tenant setups, as well as energy-efficient scheduling models for green cloud computing. Additionally, integration of container computing with edge and fog infrastructures has gained attention to support latency-sensitive and real-time applications. Overall, these works demonstrate that container computing significantly enhances cloud efficiency, elasticity, and service delivery across diverse workloads.