A method to build and analyze scientific workflows from provenance through process mining

R. Zeng, X. He, Jiafei Li, Zheng Liu, W.M.P. Aalst, van der

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
4 Downloads (Pure)

Abstract

Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and are used to accelerate the pace of scientific discovery. In many disciplines, individual workflows are large due to the large quantities of data used. As scientific workflows scale quickly, they become very hard to build and maintain. Recent efforts from scientific workflow community aiming at large-scale capturing of provenance present a new opportunity for building scientific workflows using provenance. Process mining focusses on extracting information about processes by examining event logs, and has been successfully applied to business workflow management. This paper presents a method using process mining based on provenance to build and analyze scientific workflows, which provides a new direction in using captured provenance.
Original languageEnglish
Title of host publicationProceedings of the Third USENIX Workshop on the Theory and Practice of Provenance (TaPP'11, Heraklion, Crete, Greece, June 20-21, 2011)
Place of PublicationBerkeley CA
PublisherUSENIX
Pages1-5
Publication statusPublished - 2011
Event3rd USENIX Workshop on the Theory and Practice of Provenance (TaPP 2011) - Heraklion, Crete, Greece
Duration: 20 Jun 201121 Jun 2011
Conference number: 3
https://www.usenix.org/legacy/events/tapp11/

Conference

Conference3rd USENIX Workshop on the Theory and Practice of Provenance (TaPP 2011)
Abbreviated titleTaPP 2011
CountryGreece
CityHeraklion, Crete
Period20/06/1121/06/11
Internet address

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