| The bigdawg polystore system J Duggan, AJ Elmore, M Stonebraker, M Balazinska, B Howe, J Kepner, ... ACM Sigmod Record 44 (2), 11-16, 2015 | 357 | 2015 |
| Zephyr: live migration in shared nothing databases for elastic cloud platforms AJ Elmore, S Das, D Agrawal, A El Abbadi Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 332 | 2011 |
| Datahub: Collaborative data science & dataset version management at scale A Bhardwaj, S Bhattacherjee, A Chavan, A Deshpande, AJ Elmore, ... arXiv preprint arXiv:1409.0798, 2014 | 247 | 2014 |
| E-store: Fine-grained elastic partitioning for distributed transaction processing systems R Taft, E Mansour, M Serafini, J Duggan, AJ Elmore, A Aboulnaga, ... Proceedings of the VLDB Endowment 8 (3), 245-256, 2014 | 224 | 2014 |
| Database scalability, elasticity, and autonomy in the cloud D Agrawal, A El Abbadi, S Das, AJ Elmore International conference on database systems for advanced applications, 2-15, 2011 | 174 | 2011 |
| A demonstration of the bigdawg polystore system AJ Elmore, J Duggan, M Stonebraker, M Balazinska, U Cetintemel, ... Proceedings of the VLDB Endowment 8 (12), 1908, 2015 | 144 | 2015 |
| The BigDAWG polystore system and architecture V Gadepally, P Chen, J Duggan, A Elmore, B Haynes, J Kepner, ... 2016 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2016 | 132 | 2016 |
| Clay: Fine-grained adaptive partitioning for general database schemas M Serafini, R Taft, AJ Elmore, A Pavlo, A Aboulnaga, M Stonebraker Proceedings of the VLDB Endowment 10 (4), 445-456, 2016 | 109 | 2016 |
| Squall: Fine-grained live reconfiguration for partitioned main memory databases AJ Elmore, V Arora, R Taft, A Pavlo, D Agrawal, A El Abbadi Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 108 | 2015 |
| Collaborative data analytics with DataHub A Bhardwaj, D Karger, H Subramanyam, A Deshpande, S Madden, E Wu, ... Proceedings of the VLDB Endowment International Conference on Very Large …, 2015 | 88 | 2015 |
| Serializability, not serial: Concurrency control and availability in multi-datacenter datastores S Patterson, AJ Elmore, F Nawab, D Agrawal, AE Abbadi arXiv preprint arXiv:1208.0270, 2012 | 79 | 2012 |
| VergeDB: A Database for IoT Analytics on Edge Devices. J Paparrizos, C Liu, B Barbarioli, J Hwang, I Edian, AJ Elmore, ... CIDR, 2021 | 68 | 2021 |
| UDP: a programmable accelerator for extract-transform-load workloads and more Y Fang, C Zou, AJ Elmore, AA Chien Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 65 | 2017 |
| Volume under the surface: a new accuracy evaluation measure for time-series anomaly detection J Paparrizos, P Boniol, T Palpanas, RS Tsay, A Elmore, MJ Franklin Proceedings of the VLDB Endowment 15 (11), 2774-2787, 2022 | 61 | 2022 |
| Debunking four long-standing misconceptions of time-series distance measures J Paparrizos, C Liu, AJ Elmore, MJ Franklin Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020 | 61 | 2020 |
| Characterizing tenant behavior for placement and crisis mitigation in multitenant dbmss AJ Elmore, S Das, A Pucher, D Agrawal, A El Abbadi, X Yan Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 58 | 2013 |
| How large language models will disrupt data management RC Fernandez, AJ Elmore, MJ Franklin, S Krishnan, C Tan Proceedings of the VLDB Endowment 16 (11), 3302-3309, 2023 | 57 | 2023 |
| Orpheusdb: Bolt-on versioning for relational databases S Huang, L Xu, J Liu, A Elmore, A Parameswaran arXiv preprint arXiv:1703.02475, 2017 | 56 | 2017 |
| Band-limited training and inference for convolutional neural networks A Dziedzic, J Paparrizos, S Krishnan, A Elmore, M Franklin International Conference on Machine Learning, 1745-1754, 2019 | 54 | 2019 |
| Decibel: The relational dataset branching system M Maddox, D Goehring, AJ Elmore, S Madden, A Parameswaran, ... Proceedings of the VLDB Endowment. International Conference on Very Large …, 2016 | 53 | 2016 |
