An efficient automatic testing framework for NFV systems

Yuanrui Zhu; Xiancheng Lin; Wanyi Zhu; Rongkai Liu; Yongbing Fan

doi:10.1117/12.2640852

13 October 2022 An efficient automatic testing framework for NFV systems

Yuanrui Zhu, Xiancheng Lin, Wanyi Zhu, Rongkai Liu, Yongbing Fan

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 122870A (2022) https://doi.org/10.1117/12.2640852
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

NFV systems are becoming more complicated with various of software modules, vendors and interfaces introduced. Testing such systems is very time consuming and requires lots of expertise. In this paper, we propose an efficient automatic testing framework to simplify and speedup the testing process. There are two critical components in this framework, i.e., a structured and reusable test case format and an abstraction layer to adapt different testing tools. Based on this framework, a tester can quickly compose the test cases by just setting the corresponding parameters of the test tools and target components. After this setting, the framework will automatically arrange the testing order and invoke the testing tools to fulfil the test. The experiment on real systems shows that our framework can greatly improve the testing efficiency.

Citation Download Citation

Yuanrui Zhu, Xiancheng Lin, Wanyi Zhu, Rongkai Liu, and Yongbing Fan "An efficient automatic testing framework for NFV systems", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 122870A (13 October 2022); https://doi.org/10.1117/12.2640852

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