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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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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