46 citations · 165 across the 8 of their papers we have counts for
8 papers
Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud
Sören Henning, Wilhelm Hasselbring
Context: The combination of distributed stream processing with microservice architectures is an emerging pattern for building data-intensive software systems. In such systems, stre…
Streaming vs. Functions: A Cost Perspective on Cloud Event Processing
Tobias Pfandzelter, Sören Henning, Trever Schirmer +2
In cloud event processing, data generated at the edge is processed in real-time by cloud resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) have b…
Goals and Measures for Analyzing Power Consumption Data in Manufacturing Enterprises
Sören Henning, Wilhelm Hasselbring, Heinz Burmester +2
The Internet of Things adoption in the manufacturing industry allows enterprises to monitor their electrical power consumption in real time and at machine level. In this paper, we…
Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures
Sören Henning, Wilhelm Hasselbring
Distributed stream processing engines are designed with a focus on scalability to process big data volumes in a continuous manner. We present the Theodolite method for benchmarking…
Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams
Sören Henning, Wilhelm Hasselbring
Ever-increasing amounts of data and requirements to process them in real time lead to more and more analytics platforms and software systems being designed according to the concept…
Industrial DevOps
Wilhelm Hasselbring, Sören Henning, Björn Latte +4
The visions and ideas of Industry 4.0 require a profound interconnection of machines, plants, and IT systems in industrial production environments. This significantly increases the…
A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments
Sören Henning, Wilhelm Hasselbring, Armin Möbius
Detailed knowledge about the electrical power consumption in industrial production environments is a prerequisite to reduce and optimize their power consumption. Today's industrial…
Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing
Sören Henning, Klaus Jansen, Malin Rau +1
We study the Parallel Task Scheduling problem with a constant number of machines. This problem is known to be strongly NP-complete for each , while i…