Abstract
Preserving data analyses produced by the collaborations at LHC in a parametrized fashion is crucial in order to maintain reproducibility and re-usability. We argue for a declarative description in terms of individual processing steps - "packtivities" - linked through a dynamic directed acyclic graph (DAG) and present an initial set of JSON schemas for such a description and an implementation - "yadage" - capable of executing workflows of analysis preserved via Linux containers.
Original language | English |
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Article number | 102019 |
Journal | Journal of Physics: Conference Series |
Volume | 898 |
Issue number | 10 |
DOIs | |
State | Published - 23 Nov 2017 |
Externally published | Yes |
Event | 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 - San Francisco, United States Duration: 10 Oct 2016 → 14 Oct 2016 |