Performance Evaluation of Open-Source Serverless Platforms for Kubernetes
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) c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/15/7/234 |
| _version_ | 1797407921003298816 |
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| author | Jonathan Decker Piotr Kasprzak Julian Martin Kunkel |
| author_facet | Jonathan Decker Piotr Kasprzak Julian Martin Kunkel |
| author_sort | Jonathan Decker |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T03:49:44Z |
| format | Article |
| id | doaj.art-ae83bc33f0074f5a8041391bf2c58706 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-09T03:49:44Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-ae83bc33f0074f5a8041391bf2c587062023-12-03T14:30:03ZengMDPI AGAlgorithms1999-48932022-07-0115723410.3390/a15070234Performance Evaluation of Open-Source Serverless Platforms for KubernetesJonathan Decker0Piotr Kasprzak1Julian Martin Kunkel2Institute for Computer Science, Universität Göttingen, Goldschmidtstraße 7, 37077 Göttingen, GermanyGWDG, Burckhardtweg 4, 37077 Göttingen, GermanyInstitute for Computer Science, Universität Göttingen, Goldschmidtstraße 7, 37077 Göttingen, GermanyServerless 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.https://www.mdpi.com/1999-4893/15/7/234serverlessopen sourceKubernetesbenchmarkperformanceself-hosted |
| spellingShingle | Jonathan Decker Piotr Kasprzak Julian Martin Kunkel Performance Evaluation of Open-Source Serverless Platforms for Kubernetes Algorithms serverless open source Kubernetes benchmark performance self-hosted |
| title | Performance Evaluation of Open-Source Serverless Platforms for Kubernetes |
| title_full | Performance Evaluation of Open-Source Serverless Platforms for Kubernetes |
| title_fullStr | Performance Evaluation of Open-Source Serverless Platforms for Kubernetes |
| title_full_unstemmed | Performance Evaluation of Open-Source Serverless Platforms for Kubernetes |
| title_short | Performance Evaluation of Open-Source Serverless Platforms for Kubernetes |
| title_sort | performance evaluation of open source serverless platforms for kubernetes |
| topic | serverless open source Kubernetes benchmark performance self-hosted |
| url | https://www.mdpi.com/1999-4893/15/7/234 |
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