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Article

Performance Evaluation of Open-Source Serverless Platforms for Kubernetes

1
Institute for Computer Science, Universität Göttingen, Goldschmidtstraße 7, 37077 Göttingen, Germany
2
GWDG, Burckhardtweg 4, 37077 Göttingen, Germany
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Author to whom correspondence should be addressed.
Academic Editors: Yunquan Zhang and Liang Yuan
Algorithms 2022, 15(7), 234; https://doi.org/10.3390/a15070234
Received: 27 May 2022 / Revised: 24 June 2022 / Accepted: 28 June 2022 / Published: 2 July 2022
(This article belongs to the Special Issue Performance Optimization and Performance Evaluation)
Serverless computing has grown massively in popularity over the last few years, and has provided developers with a way to deploy function-sized code units without having to take care of the actual servers or deal with logging, monitoring, and scaling of their code. High-performance computing (HPC) clusters can profit from improved serverless resource sharing capabilities compared to reservation-based systems such as Slurm. However, before running self-hosted serverless platforms in HPC becomes a viable option, serverless platforms must be able to deliver a decent level of performance. Other researchers have already pointed out that there is a distinct lack of studies in the area of comparative benchmarks on serverless platforms, especially for open-source self-hosted platforms. This study takes a step towards filling this gap by systematically benchmarking two promising self-hosted Kubernetes-based serverless platforms in comparison. While the resulting benchmarks signal potential, they demonstrate that many opportunities for performance improvements in serverless computing are being left on the table. View Full-Text
Keywords: serverless; open source; Kubernetes; benchmark; performance; self-hosted; HPC serverless; open source; Kubernetes; benchmark; performance; self-hosted; HPC
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MDPI and ACS Style

Decker, J.; Kasprzak, P.; Kunkel, J.M. Performance Evaluation of Open-Source Serverless Platforms for Kubernetes. Algorithms 2022, 15, 234. https://doi.org/10.3390/a15070234

AMA Style

Decker J, Kasprzak P, Kunkel JM. Performance Evaluation of Open-Source Serverless Platforms for Kubernetes. Algorithms. 2022; 15(7):234. https://doi.org/10.3390/a15070234

Chicago/Turabian Style

Decker, Jonathan, Piotr Kasprzak, and Julian Martin Kunkel. 2022. "Performance Evaluation of Open-Source Serverless Platforms for Kubernetes" Algorithms 15, no. 7: 234. https://doi.org/10.3390/a15070234

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