Ph.D. Student and Research Assistant at Technical University Berlin mentored by Volker Markl and Tilmann Rabl.

My research interests deal with designing and developing distributed data processing engines using modern hardware for scalable data management and machine learning. Currently, I am investigating distributed protocols for dealing with large distributed state in stream processing engines.

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 partecipating to an Erasmus+ program.

Bonaventura Del Monte
delmonte [at] tu [dash] berlin [dot] de
+49 30 31422784
TU Berlin
Einsteinufer 17
10587 Berlin
Germany
TU Berlin EN 741

Publications

Phd@VLDB'17
Efficient Migration of Very Large Distributed State for Scalable Stream Processing. Bonaventura Del Monte, in 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.

EDBT'17
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl, in Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017). International Workshop on Big Data Management in European Projects (EuroPro), 1st, located at Joint Conference EDBT/ICDT, March 21, Venice, Italy, 2017.
ICGHPC'16
A scalable GPU-enabled framework for training deep neural networks. Bonaventura Del Monte, Radu Prodan, in the 2nd IEEE Int. Conf. on Green High Performance Computing (ICGHPC'16), Nagercoil, India, February 26-27, 2016.

Research Projects

I am currently involved into the following EU funded projects:


Service

  • VLDB 2019, external reviewer
  • SIGMOD 2018, external reviewer

Teaching

  • Big Data Analytics Project, WS 2018-2019, TU Berlin
  • Information Management Seminar, SS 2018, TU Berlin
  • Big Data Analytics Project, WS 2017-2018, TU Berlin
  • Big Data Analytics Project, SS 2017, TU Berlin
  • Information Management Seminar, SS 2017, TU Berlin

Mentored Master's Theses

  • Thao Ha, Spatial Analytics using the Apache Flink Platform, defended Aug 2017
  • Adrian Bartnik, Runtime Modifications of a Flink Jobgraph, defended Apr 2018
  • Dominik Schröck, Building an optimizer for Dynamic Rescaling of Distributed Stream Processing Engines, defended Jul 2018