BibTeX

@article{PEOOSPFKDK22,
	author	 = {Jonathan Decker and Piotr Kasprzak and Julian Kunkel},
	title	 = {{Performance Evaluation of Open-Source Serverless Platforms for Kubernetes}},
	year	 = {2022},
	month	 = {06},
	publisher	 = {MDPI},
	journal	 = {Algorithms},
	issn	 = {1999-4893},
	doi	 = {https://doi.org/10.3390/a15070234},
	abstract	 = {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.},
	url	 = {https://www.mdpi.com/1999-4893/15/7/234},
}

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