ERP non-core service migration method based on K8s dynamic resource scheduling
By identifying ERP non-core business modules, transforming them into standard API gateway routing and asynchronous communication, and combining them with a time series decomposition model and a topology-aware scheduler, we solved the problems of rigid resource allocation and data redundancy in the ERP system, achieving efficient migration of ERP non-core businesses and improving resource utilization.
Patent Information
- Application Number
- CN202511114178.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-11
- Publication Date
- 2025-09-12
- Estimated Expiration
- 2045-08-11
AI Technical Summary
In traditional ERP systems, non-core business modules are deeply coupled with core modules, resulting in rigid resource allocation, high-fluctuation loads that easily preempt core resources, data redundancy and inconsistent formats, difficulty in containerization, the K8s scheduler's inability to adapt to heterogeneous resource requirements, a lack of fine-grained control over inter-container communication, error-prone network policies, and insufficient or overloaded resource utilization.
Based on the business criticality matrix, non-core business modules are identified, transformed into standard API gateway routing, and decoupled into asynchronous communication; resource load is analyzed through a time series decomposition model to generate K8s scheduling parameters; lightweight container images are built and health probes are configured; a topology-aware scheduler optimizes resource allocation, dynamic storage provisioning, and network isolation; a workload elastic scaling model is established to dynamically adjust resource quotas.
It achieves efficient migration of ERP non-core businesses, avoids resource competition and data loss, improves resource utilization and network security, meets the ERP system's requirements for heterogeneous resources and business hierarchical isolation, and improves system performance and reliability.