Quantitative Analysis of Cloud Function Evolution in the AWS Serverless Application Repository
Year: 2019
Type: preprint
Abstract: The serverless computing ecosystem is growing due to interest by software engineers. Beside Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) systems, developer-oriented tools such as deployment and debugging frameworks as well as cloud function repositories enable the rapid creation of wholly or partially serverless applications. This study presents first insights into how cloud functions (Lambda functions) and composite serverless applications offered through the AWS Serverless Application Repository have evolved over the course of one year. Specifically, it outlines information on cloud function and function-based application offering models and descriptions, high-level implementation statistics, and evolution including change patterns over time. Several results are presented in live paper style, offering hyperlinks to continuously updated figures to follow the evolution after publication date.
Source: arXiv (Cornell University)
Author: Spillner, Josef
Institution: ZHAW Zurich University of Applied Sciences
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Universität Zürich
OpenAlex ID: W2944482954