Pegasus, a Workflow Management System for Science Automation

Deelman, E., Vahi, K., Juve, G., Rynge, M., Callaghan, S., Maechling, P. J., Mayani, R., et al. (2015). Pegasus, a Workflow Management System for Science Automation. Future Generation Computer Systems, 17-35.

Type

Journal article

Intellectual base

Primary research

Year

2015

DOI

10.1016/j.future.2014.10.008

Link

https://doi.org/10.1016/j.future.2014.10.008

Cited by

1 citation across 1 artifact.

Domain-specific

• Multisite Cloud
  • Liu and colleagues identify data placement, scheduling, provenance, reliability, and transfer as coupled concerns in data-intensive scientific workflow management. Deelman and colleagues show how workflow systems separate abstract dependencies from resource-specific execution planning.

Verification

This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.

Registry ID ref:67299f624359 · see in the full table