| A comparison of approaches to large-scale data analysis A Pavlo, E Paulson, A Rasin, DJ Abadi, DJ DeWitt, S Madden, ... Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009 | 1620 | 2009 |
| H-store: a high-performance, distributed main memory transaction processing system R Kallman, H Kimura, J Natkins, A Pavlo, A Rasin, S Zdonik, EPC Jones, ... Proceedings of the VLDB Endowment 1 (2), 1496-1499, 2008 | 823 | 2008 |
| MapReduce and parallel DBMSs: friends or foes? M Stonebraker, D Abadi, DJ DeWitt, S Madden, E Paulson, A Pavlo, ... Communications of the ACM 53 (1), 64-71, 2010 | 727 | 2010 |
| Automatic database management system tuning through large-scale machine learning D Van Aken, A Pavlo, GJ Gordon, B Zhang Proceedings of the 2017 ACM international conference on management of data …, 2017 | 707 | 2017 |
| Oltp-bench: An extensible testbed for benchmarking relational databases DE Difallah, A Pavlo, C Curino, P Cudre-Mauroux Proceedings of the VLDB Endowment 7 (4), 277-288, 2013 | 470 | 2013 |
| Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems A Pavlo, C Curino, S Zdonik Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012 | 396 | 2012 |
| Self-Driving Database Management Systems. A Pavlo, G Angulo, J Arulraj, H Lin, J Lin, L Ma, P Menon, TC Mowry, ... CIDR 4, 1, 2017 | 365 | 2017 |
| Staring into the abyss: An evaluation of concurrency control with one thousand cores X Yu, G Bezerra, A Pavlo, S Devadas, M Stonebraker Association for Computing Machinery (ACM), 2014 | 319 | 2014 |
| Let's talk about storage & recovery methods for non-volatile memory database systems J Arulraj, A Pavlo, SR Dulloor Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 306 | 2015 |
| What’s Really New with NewSQL? A Pavlo, M Aslett SIGMOD Record 45 (2), 45-55, 2016 | 270 | 2016 |
| Query-based workload forecasting for self-driving database management systems L Ma, D Van Aken, A Hefny, G Mezerhane, A Pavlo, GJ Gordon Proceedings of the 2018 International Conference on Management of Data, 631-645, 2018 | 260 | 2018 |
| 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 | 223 | 2014 |
| Tictoc: Time traveling optimistic concurrency control X Yu, A Pavlo, D Sanchez, S Devadas Proceedings of the 2016 International Conference on Management of Data, 1629 …, 2016 | 216 | 2016 |
| An empirical evaluation of in-memory multi-version concurrency control Y Wu, J Arulraj, J Lin, R Xian, A Pavlo Proceedings of the VLDB Endowment 10 (7), 781-792, 2017 | 208 | 2017 |
| Bridging the archipelago between row-stores and column-stores for hybrid workloads J Arulraj, A Pavlo, P Menon Proceedings of the 2016 International Conference on Management of Data, 583-598, 2016 | 185 | 2016 |
| Anti-caching: A new approach to database management system architecture J DeBrabant, A Pavlo, S Tu, M Stonebraker, S Zdonik Proceedings of the VLDB Endowment 6 (14), 1942-1953, 2013 | 181 | 2013 |
| Everything you always wanted to know about compiled and vectorized queries but were afraid to ask T Kersten, V Leis, A Kemper, T Neumann, A Pavlo, P Boncz Proceedings of the VLDB Endowment 11 (13), 2209-2222, 2018 | 175 | 2018 |
| Surf: Practical range query filtering with fast succinct tries H Zhang, H Lim, V Leis, DG Andersen, M Kaminsky, K Keeton, A Pavlo Proceedings of the 2018 International Conference on Management of Data, 323-336, 2018 | 173 | 2018 |
| Relaxed operator fusion for in-memory databases: Making compilation, vectorization, and prefetching work together at last P Menon, TC Mowry, A Pavlo Proceedings of the VLDB Endowment 11 (1), 1-13, 2017 | 168 | 2017 |
| Write-behind logging J Arulraj, M Perron, A Pavlo Proceedings of the VLDB Endowment 10 (4), 337-348, 2016 | 167 | 2016 |
Joy ArulrajGeorgia Institute of TechnologyBestätigte E-Mail-Adresse bei gatech.edu
