Orthrus: Efficient and Timely Detection of Silent User Data Corruption in the Cloud with Resource-Adaptive Computation Validation
Published in SOSP 2025 (The 31st Symposium on Operating Systems Principles), 2025
Chenxiao Liu, Zhenting Zhu(co-first), Quanxi Li, Yanwen Xia, Yifan Qiao, Xiangyun Deng, Youyou Lu, Tao Xie, Huimin Cui, Zidong Du, Harry Xu, Chenxi Wang*
Recommended citation: Chenxiao Liu, Zhenting Zhu, Quanxi Li, Yanwen Xia, Yifan Qiao, Xiangyun Deng, Youyou Lu, Tao Xie, Huimin Cui, Zidong Du, Harry Xu, and Chenxi Wang. 2025. Orthrus: Efficient and Timely Detection of Silent User Data Corruption in the Cloud with Resource-Adaptive Computation Validation. In Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP 25). Association for Computing Machinery, New York, NY, USA, 286–304. https://doi.org/10.1145/3731569.3764832
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