Dr. Alexander van Renen

Postdoctoral Researcher

Department Engineering
Data Systems Lab



Research Interests

I am interested in all topics involving database management systems. In particular, my focus is on systems research: algorithms, data structures, execution engines, and storage management. Currently, I am curious about the benefits of machine learning techniques for database architectures. The goal is to design novel databases that adapt better to given workloads while easing administrative overhead. Further, I want to explore how cost, energy, and resources can be saved by building serverless systems where resources are shared among clients.


Selected Publications

Title: Cloud Analytics Benchmark
Authors: Alexander van Renen, Viktor Leis
Conference: VLDB 2023
URL: https://www.vldb.org/pvldb/vol16/p1413-renen.pdf
Title: Benchmarking Learned Indexes
Authors: Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
Conference: VLDB 2020
URL: https://vldb.org/pvldb/vol14/p1-marcus.pdf
Title: Building Blocks for Persistent Memory
Authors: Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper
Conference: VLDBJ 2020
URL: https://link.springer.com/content/pdf/10.1007/s00778-020-00622-9.pdf
Title: Veritas: Shared Verifiable Databases and Tables in the Cloud
Authors: Lindsey Allen, Panagiotis Antonopoulos, Arvind Arasu, Johannes Gehrke, Joachim Hammer, James Hunter, Raghav Kaushik, Donald Kossmann, Jonathan Lee, Ravi Ramamurthy, Srinath Setty, Jakub Szy- maszek, Alexander van Renen, Ramarathnam Venkatesan
Conference: CIDR 2019
URL: https://www.cidrdb.org/cidr2019/papers/p111-gehrke-cidr19.pdf
Title: Managing Non-Volatile Memory in Database Systems
Authors: Alexander van Renen, Viktor Leis, Alfons Kemper, Thomas Neumann, Takushi Hashida, Kazuichi Oe, Yoshiyasu Doi, Lilian Harada, Sato Mitsuru
Conference: SIGMOD 2018
URL: https://db.in.tum.de/~leis/papers/nvm.pdf


Full list on dblp: https://dblp.org/pid/219/9679.html