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20172023
most citedTheodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures

46 citations · 165 across the 8 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE2023★ 39 cited

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…

cs.SE2020★ 18 cited

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…

cs.SE2020★ 46 cited

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…

cs.SE2019★ 32 cited

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…

cs.SE2019★ 14 cited

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…