Yadage and Packtivity - Analysis preservation using parametrized workflows

Kyle Cranmer, Lukas Heinrich

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

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 languageEnglish
Article number102019
JournalJournal of Physics: Conference Series
Volume898
Issue number10
DOIs
StatePublished - 23 Nov 2017
Externally publishedYes
Event22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 - San Francisco, United States
Duration: 10 Oct 201614 Oct 2016

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