10 citations · 23 across the 9 of their papers we have counts for
5 papers · 1 filter
Should I Run My Cloud Benchmark on Black Friday?
Sören Henning, Adriano Vogel, Esteban Perez-Wohlfeil +2
Benchmarks and performance experiments are frequently conducted in cloud environments. However, their results are often treated with caution, as the presumed high variability of pe…
When Should I Run My Application Benchmark?: Studying Cloud Performance Variability for the Case of Stream Processing Applications
Sören Henning, Adriano Vogel, Esteban Perez-Wohlfeil +2
Performance benchmarking is a common practice in software engineering, particularly when building large-scale, distributed, and data-intensive systems. While cloud environments off…
Analyzing Logs of Large-Scale Software Systems using Time Curves Visualization
Dmytro Borysenkov, Adriano Vogel, Sören Henning +1
Logs are crucial for analyzing large-scale software systems, offering insights into system health, performance, security threats, potential bugs, etc. However, their chaotic nature…
ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks
Sören Henning, Adriano Vogel, Michael Leichtfried +2
Distributed stream processing frameworks help building scalable and reliable applications that perform transformations and aggregations on continuous data streams. This paper intro…
Benchmarking Function Hook Latency in Cloud-Native Environments
Mario Kahlhofer, Patrick Kern, Sören Henning +1
Researchers and engineers are increasingly adopting cloud-native technologies for application development and performance evaluation. While this has improved the reproducibility of…