Service-oriented dynamic resource management method and system
By collecting the resource status of physical nodes, using service tags to calculate resource utilization, setting thresholds at different levels, and automatically calling control interfaces to perform resource expansion or reduction operations, combined with prediction models to predict future demand, the problem of inaccurate resource allocation in traditional resource allocation models is solved, and accurate and efficient resource management is achieved, adapting to the dynamic changes of complex business scenarios.
Patent Information
- Application Number
- CN202510853406.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-24
- Publication Date
- 2025-10-28
AI Technical Summary
Traditional service resource allocation models are ill-suited to the dynamic changes in complex business scenarios, resulting in inaccurate resource allocation and difficulty in ensuring service performance and cost-effectiveness.
By collecting the resource status of physical nodes, using service tags to calculate resource utilization, setting thresholds at different levels, and automatically calling control interfaces to perform resource expansion or reduction operations, and combining prediction models to predict future demand, dynamic scheduling and differentiated management of resources can be achieved.
It achieves accurate and efficient resource allocation, adapts to dynamic changes in load with core business priority, improves service stability and resource utilization, and reduces operation and maintenance costs.