Performability assessment measure based on deep learning for open source software
Y. Tamura, H. Takeda, Souta Heima, Sadaaki Miyamoto, Lei Zhou, Adarsh Anand, P. K. Kapur, S. Yamada · 2024
We focus on the edge computing. Several Open Source Software (OSS) are included in the software environment of edge computing. Then, it is important to consider the characteristics of OSS in terms of the edge computing. We focus on the reliability assessment measures based on the deep learning for the edge computing. In particluar, we propose the performability as reliability assessment measure from the proposed deep learning model. Also, this paper shows several numerical examples in terms of the performability by using the actual fault big data sets.