Workflows Community Summit: Bringing the Scientific Workflows Community Together
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong, Ahn, Shantenu Jha, Carole Goble, Lavanya Ramakrishnan, Luc Peterson, Bjoern, Enders, Douglas Thain, Ilkay Altintas, Yadu Babuji, Rosa M. Badia, Vivien, Bonazzi, Taina Coleman, Michael Crusoe, Ewa Deelman

TL;DR
The paper reports on the Workflows Community Summit, highlighting the current fragmented landscape of workflow management systems, key challenges faced by the community, and the need for unified research directions to improve scientific workflows.
Contribution
It provides a comprehensive overview of the summit discussions, survey insights, and identifies crucial research challenges in the scientific workflows community.
Findings
Segmentation of WMS landscape hinders adoption
Community consensus on key research challenges
Need for unified, interoperable workflow solutions
Abstract
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…
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Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Distributed and Parallel Computing Systems
