Transformation of Python Applications into Function-as-a-Service Deployments

New cloud programming and deployment models pose challenges to software application engineers who are looking, often in vain, for tools to automate any necessary code adaptation and transformation. Function-as-a-Service interfaces are particular non-trivial targets when considering that most cloud a...

Full description

Saved in:
Bibliographic Details
Main Author Spillner, Josef
Format Journal Article
LanguageEnglish
Published 23.05.2017
Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Computer Science - Software Engineering
Online AccessGet full text
DOI10.48550/arxiv.1705.08169

Cover

More Information
Summary:New cloud programming and deployment models pose challenges to software application engineers who are looking, often in vain, for tools to automate any necessary code adaptation and transformation. Function-as-a-Service interfaces are particular non-trivial targets when considering that most cloud applications are implemented in non-functional languages. Among the most widely used of these languages is Python. This starting position calls for an automated approach to transform monolithic Python code into modular FaaS units by partially automated decomposition. Hence, this paper introduces and evaluates Lambada, a Python module to dynamically decompose, convert and deploy unmodified Python code into AWS Lambda functions. Beyond the tooling in the form of a measured open source prototype implementation, the paper contributes a description of the algorithms and code rewriting rules as blueprints for transformations of other scripting languages.
DOI:10.48550/arxiv.1705.08169