Evaluating Serverless Function Deployment Models on AWS Lambda

Gabriel Duessmann, Adriano Fiorese

2025

Abstract

With the advancement of computing and serverless services in the last couple of years, this area has been growing rapidly. Currently, most cloud providers offer serverless services, in particular at Amazon, they have AWS Lambda to create Functions as a Service (FaaS). There are at least two ways to implement it: by compressing the source code and files into a compacted folder in a ZIP format; the second way is through a container image, which has the running application and its dependencies. Based on the approach selected, the function’s performance, cost and initialization time may vary. This paper takes into account these metrics and compares the aforementioned ways of deployment. Furthermore, it aims to discover which approach is the most adequate. Experiments conducted at AWS Lambda show that functions created with compressed ZIP folders present advantages, regarding their initialization time during cold start mode, and cost.

Paper Citation

in Harvard Style

Duessmann G. and Fiorese A. (2025). Evaluating Serverless Function Deployment Models on AWS Lambda. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 740-747. DOI: 10.5220/0013279500003929

in Bibtex Style

@conference{iceis25,
author={Gabriel Duessmann and Adriano Fiorese},
title={Evaluating Serverless Function Deployment Models on AWS Lambda},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={740-747},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013279500003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Evaluating Serverless Function Deployment Models on AWS Lambda
SN - 978-989-758-749-8
AU - Duessmann G.
AU - Fiorese A.
PY - 2025
SP - 740
EP - 747
DO - 10.5220/0013279500003929
PB - SciTePress