関連文献
・F. Machida, Q. Zhang and E. Andrade, Performability analysis of adaptive drone computation offloading with fog computing. (FGCS2022) [link]
・Q. Zhang, F. Machida and E. Andrade, Performance bottleneck analysis of drone computation offloading to a shared fog node. (WoSoCer2022) [paper]
・F. Machida and E. Andrade, PA-offload: Performability-aware adaptive fog offloading for drone image processing. (ICFEC2021) [paper]
・F. Machida and E. Andrade, Availability modeling for drone image processing systems with adaptive offloading. (PRDC2021) [paper]
関連文献
・F. Machida, Using Diversities to Model the Reliability of Two-version Machine Learning Systems. (TETC2023) [link][pdf]
・Q. Wen and F. Machida, Characterizing Reliability of Three-version Traffic Sign Classifier System through Diversity Metrics. (ISSRE2023) [paper]
・M. Takahashi, F. Machida, and Q. Wen, How data diversification benefits the reliability of three-version image classification systems. (PRDC2022) [paper]
・Q. Wen and F. Machida, Reliability models and analysis for triple-model with triple-input machine learning systems. (DSC2022) [paper]
・F. Machida, On the diversity of machine learning models for system reliability. (PRDC2019) [paper][slide]
・F. Machida, N-version machine learning models for safety critical systems. (DSML2019) [paper][slide]
関連文献
・E. Andrade, R. Pietrantuono, F. Machida, and D. Cotroneo, A comparative analysis of software aging in image classifiers on cloud and edge. (IEEE TDSC 2023) [link]
・D. Dias, F. Machida, and E. Andrade, Analysis of software aging in a blockchain platform. (WoSAR2022) [paper]
・K. Watanabe and F. Machida, Availability analysis of a drone system with proactive offloading for software life-extension. (COINS2022) [paper]
・F. Machida et al., Lifetime extension of software execution subject to aging. (IEEE TR 2017) [link][paper]