Mai Zheng

Title(s):

Harpole-Pentair Assistant Professor

Office

349 Durham Center

Information

Education 
Ph.D., The Ohio State University (2015)
M.S., University of Science and Technology of China (2009)
B.S., Qingdao University (2006)
Core Area(s): Data Storage Systems, Data-Intensive Computing, Reliablity & Security
Department’s Strategic Area(s): Cyber Infrastructure; Data, decisions, networks & autonomy

Publications

Google Scholar Profile: https://scholar.google.com/citations?user=mFcB0JMAAAAJ&hl=en

  • “λMDS: Scaling Distributed File System Metadata Service using Serverless Functions”. To appear in Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024.
  • “Understanding Persistent-Memory Related Issues in the Linux Kernel”. To appear in ACM Transactions on Storage (TOS), 2023.
  • “Drill: Log-based Anomaly Detection for Large-scale Storage Systems Using Source Code Analysis”. Proceedings of the 37th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023.
  • “FaultyRank: A Graph-based Parallel File System Checker”. Proceedings of the 37th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023.
  • “ConfD: Analyzing Configuration Dependencies of File Systems for Fun and Profit”. Proceedings of the 21st USENIX Conference on File and Storage Technologies (FAST), 2023.
  • “Data Distribution for Heterogeneous Storage Systems”. IEEE Transactions on Computers (TC), 2022
  • “Understanding Configuration Dependencies of File Systems”. Proceedings of the 14th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage), 2022. Best Paper Nominee
  • “PROV-IO: An I/O-Centric Provenance Framework for Scientific Data on HPC Systems”. Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2022.
  • “A Study of Failure Recovery and Logging of High-Performance Parallel File Systems”. ACM Transactions on Storage (TOS), 2022. 
  • “SentiLog: Anomaly Detecting on Parallel File Systems via Log-based Sentiment Analysis”. Proceedings of the 13th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage), 2021. Best Paper Nominee

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