A Community Roadmap for Scientific Workflows Research and Development

Rafael Ferreira da Silva; Henri Casanova; Kyle Chard; Ilkay Altintas; Rosa M. Badia; Bartosz Balis; Taina Coleman; Frederik Coppens; Frank Di Natale; Bjoern Enders; Thomas Fahringer; Rosa Filgueira; Grigori Fursin; Daniel Garijo; Carole Goble; Dorran Howell; Shantenu Jha; Daniel S. Katz; Daniel Laney; Ulf Leser; MacIej Malawski; Kshitij Mehta; Loic Pottier; Jonathan Ozik; J. Luc Peterson; Lavanya Ramakrishnan; Stian Soiland-Reyes; Douglas Thain; Matthew Wolf

doi:10.1109/WORKS54523.2021.00016

A Community Roadmap for Scientific Workflows Research and Development

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Taina Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf LeserMacIej Malawski, Kshitij Mehta, Loic Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Citations (Scopus)

Abstract

The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the groundwork for transforming workflows research and development, the WorkflowsRI and ExaWorks projects partnered to bring the international workflows community together. This paper reports on discussions and findings from two virtual 'Workflows Community Summits' (January and April, 2021). The overarching goals of these workshops were to develop a view of the state of the art, identify crucial research challenges in the workflows community, articulate a vision for potential community efforts, and discuss technical approaches for realizing this vision. To this end, participants identified six broad themes: FAIR computational workflows; AI workflows; exascale challenges; APIs, interoperability, reuse, and standards; training and education; and building a workflows community. We summarize discussions and recommendations for each of these themes.

Original language	English
Title of host publication	2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS)
Publisher	IEEE
Pages	81-90
Number of pages	10
ISBN (Electronic)	9781665411363
DOIs	https://doi.org/10.1109/WORKS54523.2021.00016
Publication status	Published - 28 Dec 2021
Event	16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021 - St. Louis, United States Duration: 15 Nov 2021 → …

Conference

Conference	16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021
Abbreviated title	WORKS 2021
Country/Territory	United States
City	St. Louis
Period	15/11/21 → …

Keywords

AI workflows
Community roadmap
Data management
Exascale computing
Interoperability
Scientific workflows

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Information Systems and Management
Chemical Engineering (miscellaneous)
Engineering (miscellaneous)
Health Informatics
Education

Access to Document

10.1109/WORKS54523.2021.00016

Cite this

Ferreira da Silva, R., Casanova, H., Chard, K., Altintas, I., Badia, R. M., Balis, B., Coleman, T., Coppens, F., Di Natale, F., Enders, B., Fahringer, T., Filgueira, R., Fursin, G., Garijo, D., Goble, C., Howell, D., Jha, S., Katz, D. S., Laney, D., ... Wolf, M. (2021). A Community Roadmap for Scientific Workflows Research and Development. In 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS) (pp. 81-90). IEEE. https://doi.org/10.1109/WORKS54523.2021.00016

@inproceedings{836f2294c02441caae7b1ed4d8a7ab17,

title = "A Community Roadmap for Scientific Workflows Research and Development",

abstract = "The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the groundwork for transforming workflows research and development, the WorkflowsRI and ExaWorks projects partnered to bring the international workflows community together. This paper reports on discussions and findings from two virtual 'Workflows Community Summits' (January and April, 2021). The overarching goals of these workshops were to develop a view of the state of the art, identify crucial research challenges in the workflows community, articulate a vision for potential community efforts, and discuss technical approaches for realizing this vision. To this end, participants identified six broad themes: FAIR computational workflows; AI workflows; exascale challenges; APIs, interoperability, reuse, and standards; training and education; and building a workflows community. We summarize discussions and recommendations for each of these themes. ",

keywords = "AI workflows, Community roadmap, Data management, Exascale computing, Interoperability, Scientific workflows",

author = "{Ferreira da Silva}, Rafael and Henri Casanova and Kyle Chard and Ilkay Altintas and Badia, {Rosa M.} and Bartosz Balis and Taina Coleman and Frederik Coppens and {Di Natale}, Frank and Bjoern Enders and Thomas Fahringer and Rosa Filgueira and Grigori Fursin and Daniel Garijo and Carole Goble and Dorran Howell and Shantenu Jha and Katz, {Daniel S.} and Daniel Laney and Ulf Leser and MacIej Malawski and Kshitij Mehta and Loic Pottier and Jonathan Ozik and {Luc Peterson}, J. and Lavanya Ramakrishnan and Stian Soiland-Reyes and Douglas Thain and Matthew Wolf",

note = "Funding Information: This work was funded by NSF awards #2016610, #2016682, and #2016619, and by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy (DOE) Office of Science and the National Nuclear Security Administration (NNSA). This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. DOE under Contract #DE-AC05-00OR22725. Publisher Copyright: {\textcopyright} 2021 IEEE.; 16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021, WORKS 2021 ; Conference date: 15-11-2021",

year = "2021",

month = dec,

day = "28",

doi = "10.1109/WORKS54523.2021.00016",

language = "English",

pages = "81--90",

booktitle = "2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS)",

publisher = "IEEE",

address = "United States",

}

Ferreira da Silva, R, Casanova, H, Chard, K, Altintas, I, Badia, RM, Balis, B, Coleman, T, Coppens, F, Di Natale, F, Enders, B, Fahringer, T, Filgueira, R, Fursin, G, Garijo, D, Goble, C, Howell, D, Jha, S, Katz, DS, Laney, D, Leser, U, Malawski, M, Mehta, K, Pottier, L, Ozik, J, Luc Peterson, J, Ramakrishnan, L, Soiland-Reyes, S, Thain, D & Wolf, M 2021, A Community Roadmap for Scientific Workflows Research and Development. in 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS). IEEE, pp. 81-90, 16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021, St. Louis, Missouri, United States, 15/11/21. https://doi.org/10.1109/WORKS54523.2021.00016

TY - GEN

T1 - A Community Roadmap for Scientific Workflows Research and Development

AU - Ferreira da Silva, Rafael

AU - Casanova, Henri

AU - Chard, Kyle

AU - Altintas, Ilkay

AU - Badia, Rosa M.

AU - Balis, Bartosz

AU - Coleman, Taina

AU - Coppens, Frederik

AU - Di Natale, Frank

AU - Enders, Bjoern

AU - Fahringer, Thomas

AU - Filgueira, Rosa

AU - Fursin, Grigori

AU - Garijo, Daniel

AU - Goble, Carole

AU - Howell, Dorran

AU - Jha, Shantenu

AU - Katz, Daniel S.

AU - Laney, Daniel

AU - Leser, Ulf

AU - Malawski, MacIej

AU - Mehta, Kshitij

AU - Pottier, Loic

AU - Ozik, Jonathan

AU - Luc Peterson, J.

AU - Ramakrishnan, Lavanya

AU - Soiland-Reyes, Stian

AU - Thain, Douglas

AU - Wolf, Matthew

N1 - Funding Information: This work was funded by NSF awards #2016610, #2016682, and #2016619, and by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy (DOE) Office of Science and the National Nuclear Security Administration (NNSA). This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. DOE under Contract #DE-AC05-00OR22725. Publisher Copyright: © 2021 IEEE.

PY - 2021/12/28

Y1 - 2021/12/28

N2 - The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the groundwork for transforming workflows research and development, the WorkflowsRI and ExaWorks projects partnered to bring the international workflows community together. This paper reports on discussions and findings from two virtual 'Workflows Community Summits' (January and April, 2021). The overarching goals of these workshops were to develop a view of the state of the art, identify crucial research challenges in the workflows community, articulate a vision for potential community efforts, and discuss technical approaches for realizing this vision. To this end, participants identified six broad themes: FAIR computational workflows; AI workflows; exascale challenges; APIs, interoperability, reuse, and standards; training and education; and building a workflows community. We summarize discussions and recommendations for each of these themes.

AB - The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the groundwork for transforming workflows research and development, the WorkflowsRI and ExaWorks projects partnered to bring the international workflows community together. This paper reports on discussions and findings from two virtual 'Workflows Community Summits' (January and April, 2021). The overarching goals of these workshops were to develop a view of the state of the art, identify crucial research challenges in the workflows community, articulate a vision for potential community efforts, and discuss technical approaches for realizing this vision. To this end, participants identified six broad themes: FAIR computational workflows; AI workflows; exascale challenges; APIs, interoperability, reuse, and standards; training and education; and building a workflows community. We summarize discussions and recommendations for each of these themes.

KW - AI workflows

KW - Community roadmap

KW - Data management

KW - Exascale computing

KW - Interoperability

KW - Scientific workflows

UR - http://www.scopus.com/inward/record.url?scp=85123475930&partnerID=8YFLogxK

U2 - 10.1109/WORKS54523.2021.00016

DO - 10.1109/WORKS54523.2021.00016

M3 - Conference contribution

AN - SCOPUS:85123475930

SP - 81

EP - 90

BT - 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS)

PB - IEEE

T2 - 16th IEEE Workshop on Workflows in Support of Large-Scale Science 2021

Y2 - 15 November 2021

ER -

A Community Roadmap for Scientific Workflows Research and Development

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Keywords

ASJC Scopus subject areas

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