publications

Project Overview


Screenshot of the pdf document for External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems

External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems

A. Pavlo, M. Butrovich, A. Joshi, L. Ma, P. Menon, D. V. Aken, L. Lee, and R. Salakhutdinov, "External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems," IEEE Data Engineering Bulletin, pp. 32-46, 2019.
@article{pavlo19,
  author={Andrew Pavlo and Matthew Butrovich and Ananya Joshi and Lin Ma and Prashanth Menon and Dana Van Aken and Lisa Lee and Ruslan Salakhutdinov},
  title={External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems},
  journal={IEEE Data Engineering Bulletin},
  month={June},
  year={2019},
  pages={32--46},
  url = {https://db.cs.cmu.edu/papers/2019/pavlo-icde-bulletin2019.pdf},
 }
Screenshot of the pdf document for Self-Driving Database Management Systems

Self-Driving Database Management Systems

A. Pavlo, G. Angulo, J. Arulraj, H. Lin, J. Lin, L. Ma, P. Menon, T. Mowry, M. Perron, I. Quah, S. Santurkar, A. Tomasic, S. Toor, D. V. Aken, Z. Wang, Y. Wu, R. Xian, and T. Zhang, "Self-Driving Database Management Systems," in CIDR 2017, Conference on Innovative Data Systems Research, 2017.
@inproceedings{pavlo17,
  author = {Andrew Pavlo and Gustavo Angulo and Joy Arulraj and Haibin Lin and Jiexi Lin and Lin Ma and Prashanth Menon and Todd Mowry and Matthew Perron and Ian Quah and Siddharth Santurkar and Anthony Tomasic and Skye Toor and Dana Van Aken and Ziqi Wang and Yingjun Wu and Ran Xian and Tieying Zhang},
  title = {Self-Driving Database Management Systems},
  booktitle = {{CIDR} 2017, Conference on Innovative Data Systems Research},
  year = {2017},
  url = {https://db.cs.cmu.edu/papers/2017/p42-pavlo-cidr17.pdf},
 }

Self-Driving Components


Screenshot of the pdf document for Query-based Workload Forecasting for Self-Driving Database Management Systems

Query-based Workload Forecasting for Self-Driving Database Management Systems

L. Ma, D. Van Aken, A. Hefny, G. Mezerhane, A. Pavlo, and G. J. Gordon, "Query-based Workload Forecasting for Self-Driving Database Management Systems," in Proceedings of the 2018 International Conference on Management of Data, 2018, pp. 631-645.
@inproceedings{ma18,
  author = {Ma, Lin and Van Aken, Dana and Hefny, Ahmed and Mezerhane, Gustavo and Pavlo, Andrew and Gordon, Geoffrey J.},
  title = {Query-based Workload Forecasting for Self-Driving Database Management Systems},
  booktitle = {Proceedings of the 2018 International Conference on Management of Data},
  series = {SIGMOD '18},
  year = {2018},
  pages = {631--645},
  numpages = {15},
  doi = {10.1145/3183713.3196908},
  url = {https://db.cs.cmu.edu/papers/2018/mod435-maA.pdf},
 }

Execution Engine


Screenshot of the pdf document for Building a Bw-Tree Takes More Than Just Buzz Words

Building a Bw-Tree Takes More Than Just Buzz Words

Z. Wang, A. Pavlo, H. Lim, V. Leis, H. Zhang, M. Kaminsky, and D. G. Andersen, "Building a Bw-Tree Takes More Than Just Buzz Words," in Proceedings of the 2018 ACM International Conference on Management of Data, 2018, pp. 473-488.
@inproceedings{wang18,
  author = {Ziqi Wang and Andrew Pavlo and Hyeontaek Lim and Viktor Leis and Huanchen Zhang and Michael Kaminsky and David G. Andersen},
  title = {Building a Bw-Tree Takes More Than Just Buzz Words},
  booktitle = {Proceedings of the 2018 ACM International Conference on Management of Data},
  series = {SIGMOD '18},
  year = {2018},
  pages = {473--488},
  numpages = {16},
  url = {https://db.cs.cmu.edu/papers/2018/mod342-wangA.pdf},
 }
Screenshot of the pdf document for Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last

Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last

P. Menon, T. C. Mowry, and A. Pavlo, "Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last," Proceedings of the VLDB Endowment, vol. 11, pp. 1-13, 2017.
@article{menon17,
  author = {Prashanth Menon and Todd C. Mowry and Andrew Pavlo},
  title = {Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last},
  journal = {Proceedings of the VLDB Endowment},
  volume = {11},
  issue = {1},
  month = {September},
  year = {2017},
  pages = {1--13},
  publisher = {VLDB Endowment},
  url = {https://db.cs.cmu.edu/papers/2017/p1-menon.pdf},
 }
Screenshot of the pdf document for An Empirical Evaluation of In-Memory Multi-Version Concurrency Control

An Empirical Evaluation of In-Memory Multi-Version Concurrency Control

Y. Wu, J. Arulraj, J. Lin, R. Xian, and A. Pavlo, "An Empirical Evaluation of In-Memory Multi-Version Concurrency Control," Proceedings of the VLDB Endowment, vol. 10, pp. 781-792, 2017.
@article{wu17,
  author = {Yingjun Wu and Joy Arulraj and Jiexi Lin and Ran Xian and Andrew Pavlo},
  title = {An Empirical Evaluation of In-Memory Multi-Version Concurrency Control},
  journal = {Proceedings of the VLDB Endowment},
  volume = {10},
  issue = {7},
  month = {March},
  year = {2017},
  pages = {781--792},
  publisher = {VLDB Endowment},
  url = {https://db.cs.cmu.edu/papers/2017/p781-wu.pdf},
 }