Name
Abstract | ||
|---|---|---|
Scientific workflows are powerful tools for the management of scalable experiments, often composed of complex tasks running on distributed resources. Existing cyberinfrastructure provides components that can be utilized within repeatable workflows. However, data and computing advances continuously change the way scientific workflows get developed and executed, pushing the scientific activity to be... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MCSE.2019.2919688 | Computing in Science & Engineering |
Keywords | Field | DocType |
Collaboration,Task analysis,Computer architecture,Workflow management software,Computational modeling,Data models | Data modeling,Conceptual design,Task analysis,Software engineering,Computer science,Theoretical computer science,Cyberinfrastructure,Reference architecture,Workflow,Scalability,Scientific method | Journal |
Volume | Issue | ISSN |
21 | 4 | 1521-9615 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilkay Altintas | 1 | 1191 | 106.09 |
| Shweta Purawat | 2 | 25 | 3.43 |
| Daniel Crawl | 3 | 243 | 21.02 |
| Alok Singh | 4 | 11 | 2.22 |
| Kyle Marcus | 5 | 0 | 0.68 |