Container deployment method and system for remote operation
Through technologies such as hot zone prediction models, kernel probes and adaptive patch generation, and multi-path transmission decision trees, the transmission efficiency and environment adaptation problems in container deployment are solved, and efficient, reliable, and secure remote operation of container deployment is achieved.
CN120670085APending Publication Date: 2025-09-19SOUTHERN POWER GRID DIGITAL GRID RESEARCH INSTITUTE CO LTD
Patent Information
- Application Number
- CN202510757492.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-09
- Publication Date
- 2025-09-19
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Figure CN120670085A_ABST
Abstract
The invention discloses a remote operation-oriented container deployment method and system, and relates to the technical field of virtualized networks, and the method comprises the steps: dynamically dividing a container mirror image into three types of blocks through a hot area prediction model, and improving the transmission efficiency in combination with a multi-path transmission optimization strategy; capturing a system call sequence at the initial starting stage of the container to construct an environment demand vector, and generating a dynamic patch adaptive to the heterogeneous environment in real time; a chaos resistance scheduling decision tree is constructed based on network topology quality data, and a hierarchical verification and consensus mechanism of edge verification nodes is combined. The system comprises a hot area analysis module, an environment probe module, a real-time compiling engine, a path decision unit and a verification network cluster, and a technical closed loop of transmission optimization, environment adaptation, dynamic scheduling and safety verification is formed. According to the method, the container deployment success rate close to zero failure rate is realized in extreme network fluctuation and hardware heterogeneous scenes, the cold start delay is remarkably reduced, and the intelligent deployment closed loop of a high-dynamic network and heterogeneous hardware is achieved.
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Citation Information
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