From the perspective of computing technology, the safety measures of railway control system, focusing on ensuring of the availability and rapid recovery of failures of the control systems and monitoring the information security of the operating systems, are important to improve the system's trusted computing capabilities. With the rapid development of technologies like 5G-R, cloud computing and IoT, computing technology has made tremendous progress in recent years. However, these technologies have a slow impact on the railway control system. To fill this gap, this paper introduces a programming technology named COMO. And we use the openEuler operating system and Raspberry Pi to build a data collection environment, which reduces the cost and is easy to promote. As the operating system of the entire Raspberry Pi cluster, openEuler opens the intranet IP through Frp and supports access to the data collection platform through the Internet, so that more environments can be coordinated and more data can be collected. Faced with the large amount of data which is log level obtained, this paper presents centralized management about what kind of data to collect and how to evaluate whether the system is healthy. We also do data analysis with traditional tools and is going to do more research based on deep learning technology to provide support for the evaluation of the trusted computing capability of the system software.
A Method for High Availability Software Programming and Testing
Lect. Notes Electrical Eng.
International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021
Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021 ; Kapitel : 3 ; 18-27
2022-02-19
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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