CAE (Computer Aided Engineering) elastic simulation architecture based on containerization arrangement

By adopting a containerized orchestration-based CAE elastic simulation architecture, and utilizing Docker container images and Kubernetes scheduling mechanisms, the rapid deployment of CAE software microservices and dynamic resource matching are achieved. This solves the problems of uneven resource allocation and long task waiting time in CAE simulation systems, and improves simulation efficiency and scalability.

CN121480123APending Publication Date: 2026-02-06TAIHANG LABORATORY
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Patent Information

Application Number
CN202610025067.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-09
Publication Date
2026-02-06

AI Technical Summary

Technical Problem

Existing CAE simulation systems suffer from uneven resource allocation and long task waiting times, especially in traditional desktop local software mode and multi-server or HPC cluster deployment mode, where they have poor scalability and insufficient resource management.

Method used

A containerized orchestration-based CAE elastic simulation architecture is adopted. Through a private image repository, elastic simulation computing cluster and operation and maintenance management module, Docker container images and Kubernetes scheduling mechanism are used to realize the rapid deployment and dynamic adjustment of CAE software microservices, dynamically add worker nodes, and match resources for tasks according to load conditions and preset policies.

Benefits of technology

It improves the scalability and overall simulation efficiency of CAE simulation systems, reduces task waiting time, realizes efficient utilization and flexible scheduling of simulation computing resources, and solves the problems of poor scalability and insufficient resource management in traditional models.

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Abstract

The invention relates to the technical field of computer-aided engineering, and discloses a CAE elastic simulation architecture based on containerization orchestration, which packages each micro-service of CAE software and an operating environment thereof into an independent Docker container mirror image through a containerization method, realizes decoupling of the CAE software and the operating environment, is convenient to realize rapid deployment and dynamic adjustment of each micro-service of the CAE, and improves the simulation efficiency of the CAE software. And the portability and the deployment efficiency of the CAE software micro-service are improved. Meanwhile, the operation and maintenance management module can dynamically increase Worker nodes according to the load condition of the current computing cluster and a preset elastic strategy and match the Worker nodes for the to-be-executed tasks, resources can be accurately allocated to the to-be-executed tasks, unbalanced resource allocation is avoided, the waiting time of the to-be-executed tasks can be shortened, and the overall simulation efficiency can be improved.
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