Pegasus, a workflow management system for science automation
By Ewa Deelman, Karan Vahi, Gideon Juve, M. Rynge, S. Callaghan, P. Maechling, R. Mayani, Weiwei Chen, Rafael Ferreira da Silva, Miron Livny and 1 more. Future generations computer systems, 2015
907 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/4224374796da64e17fce96033d4cd42240d80eaf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- M. Wilde
- Ian T Foster
- Patrick Valduriez
- Esther Pacitti
- Marta Mattoso
- Dimitri Komatitsch
- Ji Liu
- Ben Clifford
In Information Systems and Management
- Ian T Foster
- M. Wilde
- Patrick Valduriez
- Esther Pacitti
- Marta Mattoso
- Ji Liu
- Shaowen Wang
- Rajkumar Buyya
Citations in the corpus
- Parsl: Pervasive Parallel Programming in Python (2019, background): “This approach to parallelism is in contrast to prior efforts that rely on domain-specific languages (DSL) [25, 27, 39], configuration-based models [1, 24, 31], Python-based graph descriptions [4, 33], and compiled language extensions [19] to support such composition.”
- Computer Science Review (neutral): “Prominent ex amples, many of which are utilized within the Pegasus workflow man agement system [116], include Montage (astronomy), LIGO (physics), Epigenomics (biology), and CyberShake (seismology).”
- Global adjoint tomography: first-generation model (2016, methodology): “In order to stabilize the entire process, we are currently experimenting with workflow management systems, such as Pegasus (pegasus.isi.edu) (Deelman et al. 2015) and RADICAL-Pilot (Merzky et al. 2016).”
- A Survey of Data-Intensive Scientific Workflow Management (2015, methodology): “The last method is to cluster the tasks of the same label [42].”