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Performance of AWS Lambda deployments

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Performance Evaluation of the AWS Lambda Deployments

This repository contains the source code and experiments used in the analyze of the performance of the container-based deployment and ZIP-based deployment of AWS Lambda using a variety of language runtimes and applications running with different function configurations

Lambdas

The 13 applications used in the analysis can be found here.

Experiments

The raw CSV files of all experiments can be found here.

Citation

Please cite this work as followed:

@INPROCEEDINGS{9860368,
author={Dantas, Jaime and Khazaei, Hamzeh and Litoiu, Marin},
booktitle={2022 IEEE 15th International Conference on Cloud Computing (CLOUD)},
title={Application Deployment Strategies for Reducing the Cold Start Delay of AWS Lambda},
year={2022},
volume={},
number={},
pages={1-10},
doi={10.1109/CLOUD55607.2022.00016}}

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Performance of AWS Lambda deployments

License:MIT License


Languages

Language:MATLAB 45.4%Language:Python 44.0%Language:Dockerfile 3.9%Language:Java 3.6%Language:JavaScript 3.1%