Cloud service deployment method and system based on state grid cloud
By using a combination of Ceph and Docker/Kubernetes in the power industry, rapid response and dynamic resource scheduling for power services are achieved, solving the flexibility and high availability issues of cloud service deployment in the power industry in existing technologies, and improving the deployment efficiency and stability of power services.
CN120670084APending Publication Date: 2025-09-19STATE GRID INFORMATION & TELECOMM BRANCH +1
Patent Information
- Application Number
- CN202510736679.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-04
- Publication Date
- 2025-09-19
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Figure CN120670084A_ABST
Abstract
The invention discloses a state grid cloud-based cloud service deployment method and system, and relates to the field of cloud service deployment, and the method comprises the steps: collecting service types needing to be deployed in a power grid, analyzing the use demands of tenants, and evaluating the server performance demands of the service types; installing a Ceph distributed storage framework on a plurality of storage nodes of the state grid cloud platform; the method comprises the following steps of: disassembling a service category into a plurality of independent micro-services, packaging each micro-service in an independent container through Docker, and performing automatic management on the container by using a Kubernetes container arrangement tool; docker is used for achieving multi-tenant isolation, a dynamic resource scheduling mechanism is introduced, and the number of container instances is adjusted according to changes of server loads and use requirements of the tenants; and testing the multi-tenant micro-service container environment, and performing online deployment on a state grid cloud platform after the test is passed. According to the method, the Docker is adopted to realize multi-tenant isolation, and a dynamic resource scheduling mechanism is introduced, so that efficient, safe and extensible cloud service deployment is realized.
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Citation Information
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