A survey of provenance in scientific workflow

Autor:	Songhai Lin, Hong Xiao, Wenchao Jiang, Dafeng Li, Jiaben Liang, Zelin Li
Rok vydání:	2023
Předmět:	Computer Networks and Communications Hardware and Architecture Information Systems
Zdroj:	Journal of High Speed Networks. 29:129-145
ISSN:	1875-8940 0926-6801
DOI:	10.3233/jhs-222017
Popis:	The automation of data analysis in the form of scientific workflows has become a widely adopted practice in many fields of research. Data-intensive experiments using workflows enabled automation and provenance support, which contribute to alleviating the reproducibility crisis. This paper investigates the existing provenance models as well as scientific workflow applications. Furthermore, here we not only summarize the models at different levels, but also compare the applications, particularly the blockchain applied to the provenance in scientific workflows. After that, a new design of secure provenance system is proposed. Provenance that would be enabled by the emerging technology is also discussed at the end.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::755bd2b932430aa84c229ca5a0afd30f https://doi.org/10.3233/jhs-222017 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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