Michael is a computer science student at Johannes Kepler University Linz who is passionate about distributed systems and data science. He joined the Dynatrace Lab in February 2022 and is excited to contribute to the team's work in stream processing and real-time analytics. As part of his work, Michael will complete his master's thesis.
Authored publications
ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks
Distributed stream processing frameworks help building scalable and reliable applications that perform transformations and aggregations on continuous data streams. This paper introduces ShuffleBench, a novel benchmark to evaluate the performance of modern stream processing frameworks. In contrast to other benchmarks, it focuses on use cases where s...
Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, Rick Rabiser
| ICPE '24: Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering | 2024
Benchmarking Stream Processing Frameworks for Large Scale Data Shuffling
Distributed stream processing frameworks help building scalable and reliable applications that perform transformations and aggregations on continuous data streams. We outline our ongoing research on designing a new benchmark for distributed stream processing frameworks. In contrast to other benchmarks, it focuses on use cases where stream processin...
Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, Rick Rabiser
| Softwaretechnik-Trends | 2023
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