Ferreira da Silva, Rafael
Casanova, Henri
Chard, Kyle
Laney, Dan
Ahn, Dong
Jha, Shantenu
Goble, Carole
Ramakrishnan, Lavanya
Peterson, Luc
Enders, Bjoern
Thain, Douglas
Altintas, Ilkay
Babuji, Yadu
Badia, Rosa
Bonazzi, Vivien
Coleman, Taina
Crusoe, Michael
Deelman, Ewa
Di Natale, Frank
Di Tommaso, Paolo
Fahringer, Thomas
Filgueira, Rosa
Fursin, Grigori
Ganose, Alex
Gruning, Bjorn
Katz, Daniel S.
Kuchar, Olga
Kupresanin, Ana
Ludascher, Bertram
Maheshwari, Ketan
Mattoso, Marta
Mehta, Kshitij
Munson, Todd
Ozik, Jonathan
Peterka, Tom
Pottier, Loic
Randles, Tim
Soiland-Reyes, Stian
Tovar, Benjamin
Turilli, Matteo
Uram, Thomas
Vahi, Karan
Wilde, Michael
Wolf, Matthew
Wozniak, Justin
2021-03-16
<p>Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of these workflows have high computational, storage, and/or communication demands, and thus must execute on a wide range of large-scale platforms, from large clouds to upcoming exascale high-performance computing (HPC) platforms. These executions must be managed using some software infrastructure. Due to the popularity of workflows, workflow management systems (WMSs) have been developed to provide abstractions for creating and executing workflows conveniently, efficiently, and portably. While these efforts are all worthwhile, there are now hundreds of independent WMSs, many of which are moribund. As a result, the WMS landscape is segmented and presents significant barriers to entry due to the hundreds of seemingly comparable, yet incompatible, systems that exist. As a result, many teams, small and large, still elect to build their own custom workflow solution rather than adopt, or build upon, existing WMSs. This current state of the WMS landscape negatively impacts workflow users, developers, and researchers. The “Workflows Community Summit” was held online on January 13, 2021. The overarching goal of the summit was to develop a view of the state of the art and identify crucial research challenges in the workflow community. Prior to the summit, a survey sent to stakeholders in the workflow community (including both developers of WMSs and users of workflows) helped to identify key challenges in this community that were translated into 6 broad themes for the summit, each of them being the object of a focused discussion led by a volunteer member of the community. This report documents and organizes the wealth of information provided by the participants before, during, and after the summit. Additional details can be found at <a href="https://workflowsri.org/summits/community">https://workflowsri.org/summits/community</a>.</p>
https://doi.org/10.5281/zenodo.4606958
oai:zenodo.org:4606958
eng
Zenodo
https://doi.org/10.5281/zenodo.4606957
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Scientific Workflows
Cyberinfrastructure
Community Engagement
Artificial Intelligence
FAIR
Interoperability
AI Workflows
Workflows Community
Training
Education
Standards
API
Workflows Community Summit: Bringing the Scientific Workflows Community Together
info:eu-repo/semantics/report