Paris Carbone
Paris Carbone
Data Systems Lab Director, Associate Professor at KTH, Senior Researcher at RISE
Verifierad e-postadress på kth.se - Startsida
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Citeras av
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
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
Lightweight asynchronous snapshots for distributed dataflows
P Carbone, G Fóra, S Ewen, S Haridi, K Tzoumas
arXiv preprint arXiv:1506.08603, 2015
Streaming graph partitioning: an experimental study
Z Abbas, V Kalavri, P Carbone, V Vlassov
Proceedings of the VLDB Endowment 11 (11), 1590-1603, 2018
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
A survey on the evolution of stream processing systems
M Fragkoulis, P Carbone, V Kalavri, A Katsifodimos
The VLDB Journal 33 (2), 507-541, 2024
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
Apache Flink™: Stream and Batch Processing in a Single Engine. IEEE Data Eng. Bull. 38, 4 (2015), 28–38
P Carbone, A Katsifodimos, S Ewen, V Markl, S Haridi, K Tzoumas
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
Scalable and Reliable Data Stream Processing
P Carbone
KTH Royal Institute of Technology, 2018
Learning on Streaming Graphs with Experience Replay
M Perini, G Ramponi, P Carbone, V Kalavri
Proceedings of the 37th Annual ACM Symposium on Applied Computing, 2022
NeuroRAN Rethinking Virtualization for AI‐native Radio Access Networks in 6G
P Carbone, G Dán, J Gross, B Göransson, M Petrova
INSIGHT 25 (4), 74-79, 2022
Stream Window Aggregation Semantics and Optimization.
P Carbone, A Katsifodimos, S Haridi
Encyclopedia of Big Data Technologies, 2019
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
Portals: an Extension of Dataflow Streaming for Stateful Serverless
J Spenger, P Carbone, P Haller
ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and …, 2022
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
Omni-Paxos: Breaking the Barriers of Partial Connectivity
H Ng, S Haridi, P Carbone
18th European Conference on Computer Systems (EuroSys), 2023
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
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
Evaluating Model Serving Strategies over Streaming Data
S Horchidan, E Kritharakis, V Kalavri, P Carbone
🏆 Data Management for End-to-End Machine Learning @ ACM SIGMOD, 2022
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