Abstract:
Abstract：In a data middle platform environment， departmental systems often have significant differences in architecture and tech stacks. The collected data comes from various databases， resulting in high data heterogeneity and different resource needs. This necessitates resource isolation to ensure no interference between departments' data and computing resources. To handle changing resource demands due to business changes， resource scheduling is required. This paper proposes a virtualization-based isolation solution using the Kubernetes container management platform. Each department has its own virtual environment for resource isolation and management. An improved Kubernetes load balancing strategy is introduced， considering CPU， memory， bandwidth， and disk I/O resources. This strategy enhances resource allocation and system performance. Experiments show a 40% improvement over existing Kubernetes load balancing strategies， demonstrating its effectiveness in maintaining balance in the virtual container system.

Key words: Key words：data middle platform, resource isolation, multi tenant isolation, resource schedule