Jonas Traub

According to our database, Jonas Traub authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: Survey of window types for aggregation in stream processing systems.

Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl

VLDB J., January, 2024

2023

Survey of window types for aggregation in stream processing systems.

Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl

VLDB J., September, 2023

2022

Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems.

Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl

Datenbank-Spektrum, 2022

2021

Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

ACM Trans. Database Syst., 2021

What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments.

Kajetan Jeremi Maliszewski, Jorge-Arnulfo Quiané-Ruiz, Jonas Traub, Volker Markl

Proc. VLDB Endow., 2021

Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes.

Julius Hülsmann, Chiao-Yun Li, Jonas Traub, Volker Markl

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision].

Jonas Traub, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

SIGMOD Rec., 2020

Demand-based Sensor Data Gathering with Multi-Query Optimization.

Julius Hülsmann, Jonas Traub, Volker Markl

Proc. VLDB Endow., 2020

Grizzly: Efficient Stream Processing Through Adaptive Query Compilation.

Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl

Proceedings of the 2020 International Conference on Management of Data, 2020

A survey of adaptive sampling and filtering algorithms for the internet of things.

Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl

Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

The NebulaStream Platform for Data and Application Management in the Internet of Things.

Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Demand-based data stream gathering, processing, and transmission.

Jonas Traub

PhD thesis, 2019

Analyzing Efficient Stream Processing on Modern Hardware.

Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl

Proc. VLDB Endow., 2019

SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence.

Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl

CoRR, 2019

Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence.

Jonas Traub, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Volker Markl

CoRR, 2019

Efficient Window Aggregation with General Stream Slicing.

Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the Advances in Database Technology, 2019

Resense: Transparent Record and Replay of Sensor Data in the Internet of Things.

Dimitrios Giouroukis, Julius Hülsmann, Janis von Bleichert, Morgan Geldenhuys, Tim Stullich, Felipe Oliveira Gutierrez, Jonas Traub, Kaustubh Beedkar, Volker Markl

Proceedings of the Advances in Database Technology, 2019

Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams.

Ahmed Awad, Jonas Traub, Sherif Sakr

Proceedings of the Advances in Database Technology, 2019

Generating Reproducible Out-of-Order Data Streams.

Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

2018

Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing.

Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl

Proceedings of the 21st International Conference on Extending Database Technology, 2018

Efficient SIMD Vectorization for Hashing in OpenCL.

Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, Volker Markl

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

I²: Interactive Real-Time Visualization for Streaming Data.

Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl

Proceedings of the 20th International Conference on Extending Database Technology, 2017

Optimized on-demand data streaming from sensor nodes.

Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

Apache Flink in current research.

Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl

it Inf. Technol., 2016

Cutty: Aggregate Sharing for User-Defined Windows.

Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten.

Jonas Traub, Tilmann Rabl, Fabian Hueske, Till Rohrmann, Volker Markl

Proceedings of the LWA 2015 Workshops: KDML, 2015