survey

Scientific Workflows: Moving Across Paradigms

Authors:

Malcolm P. Atkinson,

Michelle Galea,

Jano I. Van HemertAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 49, Issue 4

Article No.: 66, Pages 1 - 39

https://doi.org/10.1145/3012429

Published: 12 December 2016 Publication History

Abstract

Modern scientific collaborations have opened up the opportunity to solve complex problems that require both multidisciplinary expertise and large-scale computational experiments. These experiments typically consist of a sequence of processing steps that need to be executed on selected computing platforms. Execution poses a challenge, however, due to (1) the complexity and diversity of applications, (2) the diversity of analysis goals, (3) the heterogeneity of computing platforms, and (4) the volume and distribution of data.

A common strategy to make these in silico experiments more manageable is to model them as workflows and to use a workflow management system to organize their execution. This article looks at the overall challenge posed by a new order of scientific experiments and the systems they need to be run on, and examines how this challenge can be addressed by workflows and workflow management systems. It proposes a taxonomy of workflow management system (WMS) characteristics, including aspects previously overlooked. This frames a review of prevalent WMSs used by the scientific community, elucidates their evolution to handle the challenges arising with the emergence of the “fourth paradigm,” and identifies research needed to maintain progress in this area.

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 49, Issue 4

December 2017

666 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3022634

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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© 2016 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Publication History

Published: 12 December 2016

Accepted: 01 September 2016

Revised: 01 May 2016

Received: 01 March 2015

Published in CSUR Volume 49, Issue 4

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Gilbertson CMilewicz RBerquist EBrundage AEngelmann JEvans BFrancis NFriedman-Hill EGrayson SHarvey EHo EHoffman EIrick KKrishna AMoreno ATeves JFilkov VRay BZhou M(2024)Towards Long-Term Scientific Model Sustainment at Sandia National LaboratoriesProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695276(2142-2147)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695276
Uhrmacher AFrazier PHähnle RKlügl FLorig FLudäscher BNenzi LRuiz-Martin CRumpe BSzabo CWainer GWilsdorf P(2024)Context, Composition, Automation, and Communication: The C2AC Roadmap for Modeling and SimulationACM Transactions on Modeling and Computer Simulation10.1145/367322634:4(1-51)Online publication date: 13-Aug-2024
https://dl.acm.org/doi/10.1145/3673226
Ferreira da Silva RBadia RBard DFoster IJha SSuter F(2024)Frontiers in Scientific Workflows: Pervasive Integration With High-Performance ComputingComputer10.1109/MC.2024.340154257:8(36-44)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/MC.2024.3401542
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Schintke FBelhajjame KDe Mecquenem NFrantz DGuarino VHilbrich MLehmann FMissier PSattler RSparka JSpeckhard DStolte HVu ALeser U(2024)Validity constraints for data analysis workflowsFuture Generation Computer Systems10.1016/j.future.2024.03.037157:C(82-97)Online publication date: 18-Jul-2024
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Ulliana FBisquert PCharoensit AColin RTornil FYeche Q(2024)Collaborative Benchmarking Rule-Reasoners with B-RunnerRules and Reasoning10.1007/978-3-031-72407-7_3(23-31)Online publication date: 11-Sep-2024
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Silva HCastro MSilva FMelo A(2024)A Framework for Automated Parallel Execution of Scientific Multi-workflow Applications in the Cloud with Work StealingEuro-Par 2024: Parallel Processing10.1007/978-3-031-69583-4_21(298-311)Online publication date: 26-Aug-2024
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