10 citations · 23 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
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…