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- W4292974926 abstract "Open-source offerings are often investigated when comparing their features to commercial cloud offerings. However, performance benchmarking is rarely executed for open-source tools hosted on-premise nor is it possible to conduct a fair cost comparison due to a lack of resource settings equivalent to cloud scaling strategies.Therefore, we firstly list implemented resource scaling strategies for public and open-source FaaS platforms. Based on this we propose a methodology to calculate an abstract performance measure to compare two platforms with each other. Since all open-source platforms suggest a Kubernetes deployment, we use this measure for a configuration of open-source FaaS platforms based on Kubernetes limits. We tested our approach with CPU intensive functions, considering the difference between single-threaded and multi-threaded functions to avoid wasting resources. With regard to this, we also address the noisy neighbor problem for open-source FaaS platforms by conducting an instance parallelization experiment. Our approach to limit resources leads to consistent results while avoiding an overbooking of resources." @default.
- W4292974926 created "2022-08-24" @default.
- W4292974926 creator A5004846151 @default.
- W4292974926 creator A5007851735 @default.
- W4292974926 date "2022-07-01" @default.
- W4292974926 modified "2023-10-06" @default.
- W4292974926 title "Resource Scaling Strategies for Open-Source FaaS Platforms compared to Commercial Cloud Offerings" @default.
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- W4292974926 doi "https://doi.org/10.1109/cloud55607.2022.00020" @default.
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