Towards next generation provenance systems for e-Science

Fakhri Alam Khan, Sardar Hussain, Ivan Janciak, Peter Brezany

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


e-Science helps scientists to automate scientific discovery processes and experiments, and promote collaboration across organizational boundaries and disciplines. These experiments involve data discovery, knowledge discovery, integration, linking, and analysis through different software tools and activities. Scientific workflow is one technique through which such activities and processes can be interlinked, automated, and ultimately shared amongst the collaborating scientists. Workflows are realized by the workflow enactment engine, which interprets the process definition and interacts with the workflow participants. Since workflows are typically executed on a shared and distributed infrastructure, the information on the workflow activities, data processed, and results generated (also known as provenance), needs to be recorded in order to be reproduced and reused. A range of solutions and techniques have been suggested for the provenance of data collection and analysis; however, these are predominantly workflow enactment engine and domain dependent. This paper includes taxonomy of existing provenance techniques and a novel solution named VePS (The Vienna e-Science Provenance System) for e-Science provenance collection.

Original languageEnglish
Title of host publicationFrameworks for Developing Efficient Information Systems
Subtitle of host publicationModels, Theory, and Practice
PublisherIGI Global
Number of pages25
ISBN (Electronic)9781466641624
ISBN (Print)1466641614, 9781466641617
StatePublished - 30 Jun 2013
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


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