42 citations · 194 across the 18 of their papers we have counts for
5 papers · 1 filter
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…
JumpBackHash: Say Goodbye to the Modulo Operation to Distribute Keys Uniformly to Buckets
Otmar Ertl
Introduction. Distributed data processing and storage systems require efficient methods to distribute keys across buckets. While simple and fast, the traditional modulo-based mappi…
ExaLogLog: Space-Efficient and Practical Approximate Distinct Counting up to the Exa-Scale
Otmar Ertl
This work introduces ExaLogLog, a new data structure for approximate distinct counting, which has the same practical properties as the popular HyperLogLog algorithm. It is commutat…