Managing Event Oriented Workflows
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
This paper introduces an event-driven solution for modern scientific workflows. This novel approach enables truly dynamic workflows by splitting them into their constituent parts, defined using combinations of Patterns and Recipes, and lacking any meaningful inter-dependencies. The theory behind this system is set out, and an example workflow is presented. A python package mig_meow, which implements this workflow system is also shown and explained. The use cases of various user groups are considered to asses the feasibility of the design, and it is found to be sufficient, especially in light of recent workflow requirements for dynamic looping, optional outputs and in-the-loop interactions.
Original language | English |
---|---|
Title of host publication | 2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP) |
Number of pages | 6 |
Volume | Conference number : 2 |
Place of Publication | GA, United States |
Publisher | IEEE |
Publication date | 30 Dec 2020 |
Pages | 23-28 |
ISBN (Electronic) | 978-0-7381-1072-1 |
DOIs | |
Publication status | Published - 30 Dec 2020 |
ID: 259509046