Benchmarking Scalability of Stream Processing Frameworks Deployed as Event-Driven Microservices in the Cloud

Henning, Sören; Hasselbring, Wilhelm

doi:10.2139/ssrn.4379579

Cited by 1 publication

(2 citation statements)

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“…In the following, we summarize the configuration of the benchmarked stream processing framework, the selected benchmark task samples, and the benchmarking method. We provide a replication package and the collected data of all experiments as supplemental material [HH22c], allowing other researchers to repeat and extend our work.…”

Section: Methodsmentioning

confidence: 99%

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Scalability Benchmarking of Cloud-Native Applications Applied to Event-Driven Microservices

Henning

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Cloud-native applications constitute a recent trend for designing large-scale software systems. This thesis introduces the Theodolite benchmarking method, allowing researchers and practitioners to conduct empirical scalability evaluations of cloud-native applications, their frameworks, configurations, and deployments. The benchmarking method is applied to event-driven microservices, a specific type of cloud-native applications that employ distributed stream processing frameworks to scale with massive data volumes. Extensive experimental evaluations benchmark and compare the scalability of various stream processing frameworks under different configurations and deployments, including different public and private cloud environments. These experiments show that the presented benchmarking method provides statistically sound results in an adequate amount of time. In addition, three case studies demonstrate that the Theodolite benchmarking method can be applied to a wide range of applications beyond stream processing.

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Section: Methodsmentioning

confidence: 99%

“…13.7 shows the results of our experiments with a single node for benchmark UC1-UC3. Experimental results for benchmark UC4 can be found in our replication package [HH22c]. Almost all frameworks show approximately linear scalability when scaling the number of instances.…”

Section: Scaling On a Single Nodementioning

confidence: 99%

Scalability Benchmarking of Cloud-Native Applications Applied to Event-Driven Microservices

Henning

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show abstract

Benchmarking Scalability of Stream Processing Frameworks Deployed as Event-Driven Microservices in the Cloud

Cited by 1 publication

References 75 publications

Scalability Benchmarking of Cloud-Native Applications Applied to Event-Driven Microservices

Scalability Benchmarking of Cloud-Native Applications Applied to Event-Driven Microservices

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