What makes scientific workflows scientific?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A scientific workflow is the description of a process for accomplishing a scientific objective, usually expressed in terms of tasks and their dependencies [5]. While workflows have a long history in the database community as well as in business process modeling (where they are also known as business workflows), and despite some early works on scientific workflows [3,10], the area has only recently begun to fully flourish (e.g., see [1,2,9,7,4,11]). Similar to scientific data management which has different characteristics from traditional business data management [8], scientific workflows exhibit new challenges and opportunities that distinguish them from business workflows. We present an overview of these challenges and opportunities, covering a number of issues such as different models of computation, scalable data and process management, and data provenance and lineage handling in scientific workflows.

Original languageEnglish (US)
Title of host publicationScientific and Statistical Database Management - 21st International Conference, SSDBM 2009, Proceedings
Pages217
Number of pages1
DOIs
StatePublished - 2009
Externally publishedYes
Event21st International Conference on Scientific and Statistical Database Management, SSDBM 2009 - New Orleans, LA, United States
Duration: Jun 2 2009Jun 4 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5566 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Conference on Scientific and Statistical Database Management, SSDBM 2009
CountryUnited States
CityNew Orleans, LA
Period6/2/096/4/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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