Containerized Group Orchestration and Cloud-Edge Collaborative Scheduling Based on KubeEdge

With the rapid development of cloud computing and edge computing technologies, container technology, as a core tool supporting distributed systems, has become an indispensable part of modern IT architecture. This study explores a containerized group orchestration approach based on KubeEdge, particularly its application in cloud-edge architectures. KubeEdge extends Kubernetes' container orchestration capabilities to edge computing environments, enabling efficient collaboration between the cloud and the edge, and realizing dynamic management and scheduling of containers. This paper analyzes the advantages of KubeEdge in group orchestration, resource scheduling, and load balancing, and validates its intelligent decision-making capabilities under resource-constrained and latency-sensitive environments through experiments in embedded systems. The research results show that KubeEdge can effectively improve resource utilization, task scheduling accuracy, and system fault tolerance in edge computing systems, demonstrating broad application prospects.