Papers by Christopher Olston






Research community reports


Machine learning

    A. Beutel, A. Ly, C. Olston, D. Altinbuken, E. H. Chi, H. Abu-Libdeh, L. P. Doshi, T. K. Kraska, X. Li. Learned Indexes for a Google-scale Disk-based Database. Short paper. NeurIPS Workshop on ML for Systems, December 2020.

    C. Olston, N. Fiedel, K. Gorovoy, J. Harmsen, L. Lao, F. Li, V. Rajashekhar, S. Ramesh, J. Soyke. TensorFlow-Serving: Flexible, High-Performance ML Serving. Short paper. NIPS Workshop on ML Systems, December 2017.


Enterprise data management

    A. Halevy, F. Korn, N. Noy, C. Olston, N. Polyzotis, S. Roy and S. E. Whang. Managing Google’s Data Lake: An Overview of the Goods System. In Data Engineering Bulletin, Vol. 39, No. 3, Sept 2016.

    A. Halevy, F. Korn, N. Noy, C. Olston, N. Polyzotis, S. Roy and S. E. Whang. Goods: Organizing Google’s Datasets. ACM SIGMOD 2016 International Conference on Management of Data (Industrial Track), San Francisco, California, June 2016.


Continuous data processing workflows


Data pipeline programming & debugging


Large-scale data processing


Web monitoring & crawling


Web search


Web application scalability


Distributed data monitoring


Data visualization


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