Apache flink: Stream and batch processing in a single engine P Carbone, A Katsifodimos, S Ewen, V Markl, S Haridi, K Tzoumas Bulletin of the IEEE Computer Society Technical Committee on Data …, 2015 | 1096 | 2015 |
The stratosphere platform for big data analytics A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ... The VLDB Journal 23 (6), 939-964, 2014 | 530 | 2014 |
Spinning fast iterative data flows S Ewen, K Tzoumas, M Kaufmann, V Markl arXiv preprint arXiv:1208.0088, 2012 | 190 | 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 | 140 | 2012 |
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 | 138 | 2017 |
Lightweight asynchronous snapshots for distributed dataflows P Carbone, G Fóra, S Ewen, S Haridi, K Tzoumas arXiv preprint arXiv:1506.08603, 2015 | 101 | 2015 |
" 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 | 63 | 2013 |
Introduction to Apache Flink: stream processing for real time and beyond E Friedman, K Tzoumas " O'Reilly Media, Inc.", 2016 | 58 | 2016 |
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 | 54 | 2011 |
Efficiently adapting graphical models for selectivity estimation K Tzoumas, A Deshpande, CS Jensen The VLDB Journal 22 (1), 3-27, 2013 | 42 | 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 | 37 | 2013 |
Workload-aware indexing of continuously moving objects K Tzoumas, ML Yiu, CS Jensen Proceedings of the VLDB Endowment 2 (1), 1186-1197, 2009 | 32 | 2009 |
Myriad: scalable and expressive data generation A Alexandrov, K Tzoumas, V Markl Proceedings of the VLDB Endowment 5 (12), 1890-1893, 2012 | 30 | 2012 |
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 | 30 | 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 | 25 | 2015 |
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 | 25 | 2013 |
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 | 23 | 2013 |
Implementing performance competitive logical recovery D Lomet, K Tzoumas, M Zwilling arXiv preprint arXiv:1105.4253, 2011 | 19 | 2011 |
Asymmetry in large-scale graph analysis, explained V Kalavri, S Ewen, K Tzoumas, V Vlassov, V Markl, S Haridi Proceedings of Workshop on GRAph Data management Experiences and Systems, 1-7, 2014 | 9 | 2014 |
Enabling operator reordering in data flow programs through static code analysis F Hueske, A Krettek, K Tzoumas arXiv preprint arXiv:1301.4200, 2013 | 9 | 2013 |