| Apache flink: Stream and batch processing in a single engine P Carbone, A Katsifodimos, S Ewen, V Markl, S Haridi, K Tzoumas The Bulletin of the Technical Committee on Data Engineering 38 (4), 2015 | 2193 | 2015 |
| The stratosphere platform for big data analytics A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ... The VLDB Journal 23, 939-964, 2014 | 668 | 2014 |
| State management in Apache Flink®: consistent stateful distributed stream processing P Carbone, S Ewen, G Fóra, S Haridi, S Richter, K Tzoumas Proceedings of the VLDB Endowment 10 (12), 1718-1729, 2017 | 315 | 2017 |
| Spinning fast iterative data flows S Ewen, K Tzoumas, M Kaufmann, V Markl arXiv preprint arXiv:1208.0088, 2012 | 221 | 2012 |
| Opening the black boxes in data flow optimization F Hueske, M Peters, M Sax, A Rheinländer, R Bergmann, A Krettek, ... arXiv preprint arXiv:1208.0087, 2012 | 172 | 2012 |
| Lightweight asynchronous snapshots for distributed dataflows P Carbone, G Fóra, S Ewen, S Haridi, K Tzoumas arXiv preprint arXiv:1506.08603, 2015 | 164 | 2015 |
| Lightweight graphical models for selectivity estimation without independence assumptions K Tzoumas, A Deshpande, CS Jensen Proceedings of the VLDB Endowment 4 (11), 852-863, 2011 | 123 | 2011 |
| Introduction to Apache Flink: stream processing for real time and beyond E Friedman, K Tzoumas " O'Reilly Media, Inc.", 2016 | 94 | 2016 |
| " All roads lead to Rome" optimistic recovery for distributed iterative data processing S Schelter, S Ewen, K Tzoumas, V Markl Proceedings of the 22nd ACM international conference on Information …, 2013 | 75 | 2013 |
| Efficiently adapting graphical models for selectivity estimation K Tzoumas, A Deshpande, CS Jensen The VLDB Journal 22, 3-27, 2013 | 69 | 2013 |
| Iterative parallel data processing with stratosphere: an inside look S Ewen, S Schelter, K Tzoumas, D Warneke, V Markl Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 43 | 2013 |
| Peeking into the optimization of data flow programs with mapreduce-style udfs F Hueske, M Peters, A Krettek, M Ringwald, K Tzoumas, V Markl, ... 2013 IEEE 29th International Conference on Data Engineering (ICDE), 1292-1295, 2013 | 42 | 2013 |
| Myriad: scalable and expressive data generation A Alexandrov, K Tzoumas, V Markl Proceedings of the VLDB Endowment 5 (12), 1890-1893, 2012 | 42 | 2012 |
| Workload-aware indexing of continuously moving objects K Tzoumas, ML Yiu, CS Jensen Proceedings of the VLDB Endowment 2 (1), 1186-1197, 2009 | 42 | 2009 |
| Efficient proximity detection among mobile users via self-tuning policies ML Yiu, LH U, S Šaltenis, K Tzoumas Proceedings of the VLDB Endowment 3 (1-2), 985-996, 2010 | 35 | 2010 |
| Optimistic recovery for iterative dataflows in action S Dudoladov, C Xu, S Schelter, A Katsifodimos, S Ewen, K Tzoumas, ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 29 | 2015 |
| Comparison of distributed data-parallelization patterns for big data analysis: A bioinformatics case study J Wang, D Crawl, I Altintas, K Tzoumas, V Markl Proceedings of the Fourth International Workshop on Data Intensive Computing …, 2013 | 28 | 2013 |
| Implementing performance competitive logical recovery D Lomet, K Tzoumas, M Zwilling arXiv preprint arXiv:1105.4253, 2011 | 21 | 2011 |
| Sharing-aware horizontal partitioning for exploiting correlations during query processing K Tzoumas, A Deshpande, CS Jensen Proceedings of the VLDB Endowment 3 (1-2), 542-553, 2010 | 14 | 2010 |
| Enabling operator reordering in data flow programs through static code analysis F Hueske, A Krettek, K Tzoumas arXiv preprint arXiv:1301.4200, 2013 | 11 | 2013 |