10 citations · 23 across the 9 of their papers we have counts for
9 papers
BlobShuffle: Cost-Effective Repartitioning in Stream Processing Systems via Object Storage Exemplified with Kafka Streams
Sören Henning, Otmar Ertl, Adriano Vogel
Shuffling or repartitioning data streams is an essential operation of state-of-the-art stream processing frameworks to support stateful workloads in a large-scale, distributed sett…
FluxSieve: Unifying Streaming and Analytical Data Planes for Scalable Cloud Observability
Adriano Vogel, Sören Henning, Otmar Ertl
Despite many advances in query optimization, indexing techniques, and data storage, modern data platforms still face difficulties in delivering robust query performance under high…
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…
A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks
Adriano Vogel, Sören Henning, Esteban Perez-Wohlfeil +2
Nowadays, several software systems rely on stream processing architectures to deliver scalable performance and handle large volumes of data in near real-time. Stream processing fra…
High-level Stream Processing: A Complementary Analysis of Fault Recovery
Adriano Vogel, Sören Henning, Esteban Perez-Wohlfeil +2
Parallel computing is very important to accelerate the performance of software systems. Additionally, considering that a recurring challenge is to process high data volumes continu…
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…