CFD软件自动化验证确认云平台设计与实现
Design and realization of automated testing cloud platform for CFD verification and validation
Received date: 2016-03-10
Revised date: 2016-05-23
Online published: 2016-06-12
针对大型计算流体力学（CFD）软件的验证与确认，为了减少人工成本，提高软件质量和开发效率，并适应于未来高性能计算发展的要求，基于云计算思想，提出了自动化测试云平台的解决方案。该方案采用模块化的浏览器/服务器（B/S）网络架构；利用LAMP（Linux+Apache+MySQL+PHP/Python）开发工具；建立了持续集成的专业数据库；构建了涵盖可靠集群监控、复杂作业调度及大规模并行计算功能的云端环境；实现了通过便捷的网络访问，自动加载测试算例、提交集群计算、监测实时进度、自动化后处理、输出分析结果，并提供丰富的实验对比图、误差分析报表和汇总报告等；完成了对大型CFD软件的自动化验证与确认。将该方案应用于某大规模并行计算的CFD软件，验证了该解决方案的可行性与实用性。
陈树生 , 刘丽媛 , 阎超 , 林博希 . CFD软件自动化验证确认云平台设计与实现[J]. 航空学报, 2017 , 38(3) : 120209 -120209 . DOI: 10.7527/S1000-6893.2016.0173
Based on the idea of cloud computing,this paper proposes an automated testing cloud platform solution for large-scale computational fluid dynamics (CFD) software verification and validation. The main objective is to reduce labor costs, improve software quality and development efficiency, and be adapted to high performance computing for future development as well. This platform uses modularized browser/server (B/S) network architecture and LAMP (Linux+Apache+MySQL+PHP/Python) development tools. A continuous integration professional database is established, and a cloud environment is built, covering reliable cluster computing, complicated operation scheduling and massively parallel computing. This solution is able to automatically load test cases, submit cluster computing, monitor real-time process, post-process automatically and export analysis results containing comparisons with detailed experimental data, error analysis and summary reports. This platform has been applied to a large-scale parallel computing CFD software, and the feasibility and practicability of this solution have been verified.
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