| Runtime measurements in the cloud: observing, analyzing, and reducing variance J Schad, J Dittrich, JA Quiané-Ruiz Proceedings of the VLDB Endowment 3 (1-2), 460-471, 2010 | 895 | 2010 |
| Hadoop++ making a yellow elephant run like a cheetah (without it even noticing) J Dittrich, JA Quiané-Ruiz, A Jindal, Y Kargin, V Setty, J Schad Proceedings of the VLDB Endowment 3 (1-2), 515-529, 2010 | 592 | 2010 |
| Only aggressive elephants are fast elephants J Dittrich, JA Quiané-Ruiz, S Richter, S Schuh, A Jindal, J Schad arXiv preprint arXiv:1208.0287, 2012 | 165 | 2012 |
| Data driven multi-provider pruning for query execution plan C Weyerhaeuser, T Mindnich, J Merx, J Schad, J Schwing, D Patejdl US Patent 10,628,418, 2020 | 106 | 2020 |
| RAFTing MapReduce: Fast recovery on the RAFT JA Quiané-Ruiz, C Pinkel, J Schad, J Dittrich 2011 IEEE 27th International Conference on Data Engineering, 589-600, 2011 | 91 | 2011 |
| RAFT at work: speeding-up mapreduce applications under task and node failures JA Quiané-Ruiz, C Pinkel, J Schad, J Dittrich Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 20 | 2011 |
| Predicting help desk ticket reassignments with graph convolutional networks J Schad, R Sambasivan, C Woodward Machine Learning with Applications 7, 100237, 2022 | 10 | 2022 |
| MyMIDP: An JDBC driver for accessing MySQL from mobile devices H Höpfner, J Schad, S Wendland, E Mansour 2009 First International Confernce on Advances in Databases, Knowledge, and …, 2009 | 10 | 2009 |
| Replicated data storage system and methods J Dittrich, JA Quiané-Ruiz, S Richter, S Schuh, A Jindal, J Schad US Patent App. 14/385,168, 2015 | 8 | 2015 |
| Elephant, do not forget everything! efficient processing of growing datasets J Schad, JA Quianee-Ruiz, J Dittrich 2013 IEEE Sixth International Conference on Cloud Computing, 252-259, 2013 | 7 | 2013 |
| Flying Yellow Elephant: Predictable and Efficient MapReduce in the Cloud J Schad Information Systems Group, Saarland University, 2010 | 7 | 2010 |
| Understanding and managing the performance variation and data growth in cloud computing J Schad | 5 | 2015 |
| Arangopipe, a tool for machine learning meta-data management J Schad, R Sambasivan, C Woodward Data Science 4 (2), 85-99, 2021 | 4 | 2021 |
| Decoupling filter injection and evaluation by forced pushdown of filter attributes in calculation models C Weyerhaeuser, T Mindnich, J Merx, J Schad, S Dipper US Patent 10,303,726, 2019 | 4 | 2019 |
| Quiané-Ruiz, Jorge-Arnulfo J Schad, J Dittrich Runtime measurements in the cloud: Observing, analyzing, and reducing …, 2010 | 4 | 2010 |
| Hierarchical runtime settings within distributed query execution frameworks C Weyerhaeuser, T Mindnich, J Merx, J Schad, J Schwing US Patent 9,753,981, 2017 | 3 | 2017 |
| On Analyzing the Database Performance for Different Classes of XML Documents based on the used Storage Approach. H Höpfner, J Schad, E Mansour ICSOFT (2), 243-248, 2009 | 3 | 2009 |
| Dynamic resource-based parallelization in distributed query execution frameworks C Weyerhaeuser, T Mindnich, J Merx, J Schad, J Schwing US Patent 10,114,825, 2018 | 2 | 2018 |
| MyMIDP and MyMIDP-client: Direct access to MySQL databases from cell phones H Höpfner, J Schad, S Wendland, E Mansour Gesellschaft für Informatik eV, 2009 | 2 | 2009 |
| Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud Y Shan, G Kesidis, B Urgaonkar, J Schad, J Khamse-Ashari, I Lambadaris arXiv preprint arXiv:1810.00988, 2018 | 1 | 2018 |
