Provenance of Adaptation in Scientific workflows - Literature review

Dahlberg, Julia (2024) Provenance of Adaptation in Scientific workflows - Literature review. Bachelor's Thesis, Computing Science.

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Abstract

In the world of science new technology have opened up the possibility to rely on advanced computational methods and models to conduct and produce scientific research. An important aspect of scientific and business workflows is provenance - which refers to the information describing the production or history of an end product. This end product can be anything from digital data to a physical object, but in this context its usually referred to describe digital data. Capturing provenance is thereby also important when working with workflows, and although there are many different tools and systems to be used for this purpose, the challenge of capturing and analyzing provenance information about adaptive workflows persists. To address this issue we will examine the capture of provenance information in scientific and business workflows, as well as provenance of adaptations, and how to utilize and visualize this type of information. This is necessary to get a better understanding of how to recreate an adaptive workflow, as well as to get a clear overview of the topic of provenance and to realize what information might be lacking.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Karastoyanova, D. and Stage, L.
Degree programme:	Computing Science
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	29 Nov 2024 09:18
Last Modified:	29 Nov 2024 09:18
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/34457

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