kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows

Autor: Uhrin, Martin, Huber, Sebastiaan P.
Rok vydání: 2020
Předmět:
Zdroj: Journal of Open Source Software 5 2351 (2020)
Druh dokumentu: Working Paper
DOI: 10.21105/joss.02351
Popis: In this work we present kiwiPy, a Python library designed to support robust message based communication for high-throughput, big-data, applications while being general enough to be useful wherever high-volumes of messages need to be communicated in a predictable manner. KiwiPy relies on the RabbitMQ protocol, an industry standard message broker, while providing a simple and intuitive interface that can be used in both multithreaded and coroutine based applications. To demonstrate some of kiwiPy's functionality we give examples from AiiDA, a high-throughput simulation platform, where kiwiPy is used as a key component of the workflow engine.
Databáze: arXiv