Managing Event Oriented Workflows
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Managing Event Oriented Workflows. / Marchant, David Gray; Munk, Rasmus; Brenne, Elise Otterlei; Vinter, Brian.
2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP). Bind Conference number : 2 GA, United States : IEEE, 2020. s. 23-28.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Managing Event Oriented Workflows
AU - Marchant, David Gray
AU - Munk, Rasmus
AU - Brenne, Elise Otterlei
AU - Vinter, Brian
PY - 2020/12/30
Y1 - 2020/12/30
N2 - 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.
AB - 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.
U2 - 10.1109/XLOOP51963.2020.00009
DO - 10.1109/XLOOP51963.2020.00009
M3 - Article in proceedings
VL - Conference number : 2
SP - 23
EP - 28
BT - 2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP)
PB - IEEE
CY - GA, United States
ER -
ID: 259509046