Bonaventura Del Monte, Ph.D.
- venturadelmonte [at] gmail [dot] com
- https://venturadelmonte.github.io/
- Zürich, Switzerland
Currently, I am a Staff Software Engineer at Observe Inc., where I am helping build the Observability Cloud. I was previously a Senior Researcher at Technical University Berlin collaborating with Volker Markl, Tilmann Rabl, and Steffen Zeuch.
My research interests deal with designing and developing distributed data processing engines using modern hardware for scalable, reliable, and efficient stateful stream processing. I published research papers at different venues including ACM SIGMOD, VLDB, and CIDR.
I successfully defended my Ph.D. thesis about “Hardware-conscious techniques for efficient and reliable stateful stream processing” on December 5, 2022. Members of evaluation committee were Volker Markl, Tilmann Rabl, Peter Pietzuch, Matei Zaharia, and Stefan Schmid.
Before joining TU Berlin and DFKI, I received my MSc degree from University of Salerno in collaboration with the Distributed and Parallel Systems Group, Innsbruck under supervision of Radu Prodan and Vittorio Scarano. I developed my Master’s thesis while participating to an Erasmus+ program.
Publications
Towards Unifying Query Interpretation and Compilation
Paper
Philipp M. Grulich, Aljoscha Lepping, Dwi Prasetyo Adi Nugroho, Bonaventura Del Monte, Varun Pandey, Steffen Zeuch, Volker Markl
13th Annual Conference on Innovative Data Systems Research (CIDR 2023). January 8-11, 2023, Amsterdam, The Netherlands.
Bonaventura Del Monte
Technische Universität Berlin
Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl.
2022 ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, 2022.
NebulaStream: Complex Analytics Beyond the Cloud
Paper
Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl.
Very Large Databases Conference, Tokyo, Japan, 2020.
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines
Paper
Slides
Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl.
2020 ACM SIGMOD International Conference on Management of Data, Portland, USA, 2020.
The NebulaStream Platform: Data and Application Management for the Internet of Things
Paper
Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Bress, Jonas Traub, Volker Markl.
Biennial Conference on Innovative Data Systems, Amsterdam, Netherlands, 2020.
Analyzing efficient stream processing on modern hardware
Paper
Steffen Zeuch, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Sebastian Breß, Tilmann Rabl, and Volker Markl
International Conference on Very Large Data Bases (VLDB-2019), Los Angeles, USA, 2019
On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines
Paper
Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl and Volker Markl
Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), Rostock, Germany, 2019
Efficient Migration of Very Large Distributed State for Scalable Stream Processing
Paper
Bonaventura Del Monte
Proceedings of the VLDB 2017 PhD Workshop. International Conference on Very Large Data Bases (VLDB-2017), located at co-located with the 43rd International Conference on Very Large Databases (VLDB 2017), August 28, München, Germany, 2017
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization
Paper
Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl
International Workshop on Big Data Management in European Projects (EuroPro), 1st, located at Joint Conference EDBT/ICDT, March 21, Venice, Italy, 2017
A scalable GPU-enabled framework for training deep neural networks
Paper
Bonaventura Del Monte, Radu Prodan
2nd IEEE Int. Conf. on Green High Performance Computing (ICGHPC'16), Nagercoil, India, February 26-27, 2016
Projects
NebulaStream
I am actively involved as lead scientist in the development of NebulaStream: a general purpose, end-to-end data management system for the IoT.
Rhino
I was a recipient of a Software Campus award and the principal investigator of the Rhino Project in collaboration with Huawei Technologies LTD.