1. 2018
  2. Benchmarking Distributed Stream Data Processing Systems

    Karimov, J., Rabl, T., Katsifodimos, A., Samarev, R., Heiskanen, H. & Markl, V. Apr 2018 In the Proceedings of the International Conference on Data Engineering. IEEE, 12 p.

    Research output: Scientific - peer-reviewConference contribution

  3. Scotty: Efficient Window Aggregation for out-of-order Stream Processing

    Traub, J., Grulich, P., Rodriguez Cuellar, A., Katsifodimos, A., Breß, S., Rabl, T. & Markl, V. Apr 2018 In the Proceedings of the International Conference on Data Engineering. IEEE, 4 p.

    Research output: Scientific - peer-reviewConference contribution

  4. Stream Window Aggregation Semantics and Optimization

    Carbone, P., Katsifodimos, A. & Haridi, S. 2018 Encyclopedia of Big Data Technologies. Sakr, S. & Zomaya, A. (eds.). Cham: Springer International Publishing, 11 p.

    Research output: Scientific - peer-reviewChapter

  5. 2017
  6. Optimized on-demand data streaming from sensor nodes

    Traub, J., Breß, S., Rabl, T., Katsifodimos, A. & Markl, V. 24 Sep 2017 SoCC 2017 - Proceedings of the 2017 Symposium on Cloud Computing. New York, NY: Association for Computing Machinery (ACM), p. 586-597 12 p.

    Research output: Scientific - peer-reviewConference contribution

  7. Large-scale data stream processing systems

    Carbone, P., Gévay, G. E., Hermann, G., Katsifodimos, A., Soto, J., Markl, V. & Haridi, S. 25 Feb 2017 Handbook of Big Data Technologies. Zomaya, A. Y. & Sherif, S. (eds.). 1 ed. Cham: Springer International Publishing, p. 219-260 42 p.

    Research output: ScientificChapter

  8. BlockJoin: Efficient Matrix Partitioning Through Joins

    Kunft, A., Katsifodimos, A., Schelter, S., Rabl, T. & Markl, V. 2017 Proceedings of the VLDB Endowment: Proceedings of the 43rd International Conference on Very Large Data Bases. Boncz, P. & Salem, K. (eds.). VLDB Endowment, p. 2061-2072 12 p. (Proceedings of the VLDB Endowment; vol. 10, no. 13)

    Research output: Scientific - peer-reviewConference contribution

  9. 2016
  10. Cutty: Aggregate sharing for user-defined windows

    Carbone, P., Traub, J., Katsifodimos, A., Haridi, S. & Markl, V. 24 Oct 2016 CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), Vol. 24-28-October-2016, p. 1201-1210 10 p.

    Research output: Scientific - peer-reviewConference contribution

  11. Emma in action: Declarative Dataflows for scalable data analysis

    Alexandrov, A., Salzmann, A., Krastev, G., Katsifodimos, A. & Markl, V. 26 Jun 2016 SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery (ACM), Vol. 26-June-2016, p. 2073-2076 4 p.

    Research output: Scientific - peer-reviewConference contribution

  12. 2015
  13. Implicit parallelism through deep language embedding

    Alexandrov, A., Thamsen, L., Kunft, A., Kao, O., Katsifodimos, A., Herb, T., Schüler, F. & Markl, V. 27 May 2015 SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery (ACM), Vol. 2015-May, p. 47-61 15 p.

    Research output: Scientific - peer-reviewConference contribution

  14. Optimistic recovery for iterative dataflows in action

    Dudoladov, S., Xu, C., Schelter, S., Katsifodimos, A., Ewen, S., Tzoumas, K. & Markl, V. 27 May 2015 SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery (ACM), Vol. 2015-May, p. 1439-1443 5 p.

    Research output: Scientific - peer-reviewConference contribution

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