A survey of provenance in scientific workflow-Reference-Cited by-同舟云学术

A survey of provenance in scientific workflow

Published:2023-04-21 Issue:2 Volume:29 Page:129-145
ISSN:1875-8940
Container-title:Journal of High Speed Networks
language:
Short-container-title:JHS

Author:

Lin Songhai¹,Xiao Hong¹,Jiang Wenchao¹,Li Dafeng²,Liang Jiaben³,Li Zelin¹

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510520, Guangdong, China

2. Guangdong Academy of Forestry, Guangzhou, 510520, Guangdong, China

3. Guangdong ZhongQingWei Scientific Research Partnership, Guangzhou, 510520, Guangdong, China

Abstract

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.

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems

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