Szczegóły publikacji
Opis bibliograficzny
A terminology for scientific workflow systems / Frédéric Suter, Tainã Coleman, İlkay Altintaş, Rosa M. Badia, Bartosz BALIŚ, Kyle Chard, Iacopo Colonnelli, Ewa Deelman, Paolo Di Tommaso, Thomas Fahringer, Carole Goble, Shantenu Jha, Daniel S. Katz, Johannes Köster, Ulf Leser, Kshitij Mehta, Hilary Oliver, J.-Luc Peterson, Giovanni Pizzi, Loïc Pottier, Raül Sirvent, Eric Suchyta, Douglas Thain, Sean R. Wilkinson, Justin M. Wozniak, Rafael Ferreira da Silva // Future Generation Computer Systems ; ISSN 0167-739X . — 2026 — vol. 174 art. no. 107974, s. 1–12. — Bibliogr. s. 11–12, Abstr. — Publikacja dostępna online od: 2025-06-24
Autorzy (26)
- Suter Frédéric
- Coleman Tainã
- Altintaş İlkay
- Badia Rosa M.
- AGHBaliś Bartosz
- Chard Kyle
- Colonnelli Iacopo
- Deelman Ewa
- Di Tommaso Paolo
- Fahringer Thomas
- Goble Carole
- Jha Shantenu
- Katz Daniel S.
- Köster Johannes
- Leser Ulf
- Mehta Kshitij
- Oliver Hilary
- Peterson J.-Luc
- Pizzi Giovanni
- Pottier Loïc
- Sirvent Raül
- Suchyta Eric
- Thain Douglas
- Wilkinson Sean R.
- Wozniak Justin M.
- da Silva Rafael Ferreira
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 166049 |
|---|---|
| Data dodania do BaDAP | 2026-03-10 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.future.2025.107974 |
| Rok publikacji | 2026 |
| Typ publikacji | przegląd |
| Otwarty dostęp |  |
| Czasopismo/seria | Future Generation Computer Systems |
Abstract
The term “scientific workflow” has evolved over the last two decades to encompass a broad range of compositions of interdependent compute tasks and data movements. It has also become an umbrella term for processing in modern scientific applications. Today, many scientific applications can be considered as workflows made of multiple dependent steps, and hundreds of workflow systems have been developed to manage and run these scientific workflows. However, no turnkey solution has emerged from the field to address the diversity of scientific processes and the infrastructure on which they are supposed to be implemented. Instead, new research problems requiring the execution of scientific workflows with some novel feature often lead to the development of an entirely new workflow system. A direct consequence of this situation is that many existing workflow management systems (WMSs) share some salient features, offer similar functionalities, and can manage the same categories of workflows but at the same time also have some distinct capabilities that can be important for specific applications. This situation makes researchers who develop workflows face the complex question of selecting a WMS. This selection can be driven by technical considerations, to find the system that is the most appropriate for their application and for the computing and storage resources available to them, or other factors such as reputation, adoption, strong community support, or long-term sustainability. To address this problem, a group of WMS developers and practitioners joined their efforts to produce a community-based terminology of WMSs. This paper summarizes their findings and introduces this new terminology to characterize WMSs. This terminology is composed of fives axes: workflow structure and characteristics, composition, orchestration, data management, and metadata capture. Each axis comprises several concepts that capture the prominent features of WMSs. Based on this terminology, this paper also presents a classification of 23 existing WMSs according to the proposed axes and terms.
