| Apache Flink™: Stream and Batch Processing in a Single Engine P Carbone, S Ewen, S Haridi, A Katsifodimos, V Markl, K Tzoumas Bulletin of the IEEE Computer Society Technical Committee on Data …, 2015 | 1065 | 2015 |
| 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 | 134 | 2017 |
| Lightweight asynchronous snapshots for distributed dataflows P Carbone, G Fóra, S Ewen, S Haridi, K Tzoumas arXiv preprint arXiv:1506.08603, 2015 | 98 | 2015 |
| Cutty: Aggregate Sharing for User-Defined Windows P Carbone, J Traub, A Katsifodimos, S Haridi, V Markl ACM CIKM - 25th International Conference on Information and Knowledge Management, 2016 | 44 | 2016 |
| Streaming graph partitioning: an experimental study Z Abbas, V Kalavri, P Carbone, V Vlassov Proceedings of the VLDB Endowment 11 (11), 1590-1603, 2018 | 28 | 2018 |
| Large-scale data stream processing systems P Carbone, GE Gévay, G Hermann, A Katsifodimos, J Soto, V Markl, ... Handbook of Big Data Technologies, 219-260, 2017 | 15 | 2017 |
| Arc: An IR for Batch and Stream Programming L Kroll, K Segeljakt, P Carbone, C Schulte, S Haridi Proceedings of the 17th ACM SIGPLAN International Symposium on Database …, 2019 | 6 | 2019 |
| Scalable and Reliable Data Stream Processing P Carbone KTH Royal Institute of Technology, 2018 | 6 | 2018 |
| Kompics Scala: Narrowing the gap between algorithmic specification and executable code L Kroll, P Carbone, S Haridi ACM SIGPLAN International Symposium on Scala, 73-77, 2017 | 5 | 2017 |
| Towards highly available complex event processing deployments in the cloud P Carbone, K Vandikas, F Zaloshnja 2013 Seventh International Conference on Next Generation Mobile Apps …, 2013 | 4 | 2013 |
| A topologically-aware overlay tree for efficient and low-latency media streaming P Carbone, V Kalogeraki International Conference on Heterogeneous Networking for Quality …, 2009 | 4 | 2009 |
| Arcon: Continuous and deep data stream analytics M Meldrum, K Segeljakt, L Kroll, P Carbone, C Schulte, S Haridi Proceedings of Real-Time Business Intelligence and Analytics, 1-3, 2019 | 3 | 2019 |
| Stream Window Aggregation Semantics and Optimization. P Carbone, A Katsifodimos, S Haridi Encyclopedia of Big Data Technologies, 2019 | 3 | 2019 |
| Recovery of operational state values for complex event processing based on a time window defined by an event query K Vandikas, P Carbone, F Peco US Patent 9,372,756, 2016 | 3 | 2016 |
| Beyond Analytics: the Evolution of Stream Processing Systems P Carbone, M Fragkoulis, V Kalavri, A Katsifodimos Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2020 | 2 | 2020 |
| Lecture Notes on Leader-based Sequence Paxos--An Understandable Sequence Consensus Algorithm S Haridi, L Kroll, P Carbone arXiv preprint arXiv:2008.13456, 2020 | 1 | 2020 |
| Auto-Scoring of Personalised News in the Real-Time Web: Challenges, Overview and Evaluation of the State-of-the-Art Solutions P Carbone, V Vlassov 2015 International Conference on Cloud and Autonomic Computing, 169-180, 2015 | 1 | 2015 |
| Fault Tolerant Distributed Complex Event Processing on Stream Computing Platforms P Carbone | 1 | 2013 |
| A Survey on the Evolution of Stream Processing Systems M Fragkoulis, P Carbone, V Kalavri, A Katsifodimos arXiv preprint arXiv:2008.00842, 2020 | | 2020 |
| Dagstuhl Seminar on Big Stream Processing Sherif Sakr, Tilmann Rabl, Martin Hirzel , Paris Carbone, Martin Strohbach SIGMOD Record 47 (3), 37, 2018 | | 2018 |
Seif HaridiProfessor of Computer Systems, KTH, RISEVerified email at ri.se
