Name
Abstract | ||
|---|---|---|
Scientific workflow management is heavily used in our organization. After six years, a large number of workflows are available and regularly used to run biomedical data analysis experiments on distributed infrastructures, mostly on grids. In this paper we present our first efforts to better understand and characterise these workflows. We start with a set of considerations previously proposed in the literature (workflow dimensions and motifs), and revise these to more closely describe what we observe in our workflows. We conclude that workflow characteristics can be categorized at two levels: firstly, the features characterizing the distributed application and how to implement it as a workflow, and secondly, workflow motifs that depend on the features of the selected workflow management system. These characteristics could be useful in the future to understand a larger set of workflows and to identify functional requirements for further development workflow management systems. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2534248.2534255 | WORKS@SC |
Keywords | Field | DocType |
biomedical data analysis experiment,workflow characteristic,larger set,workflow motif,scientific workflow management,selected workflow management system,workflow dimension,large number,nitty-gritty detail,functional requirement,development workflow management system,distributed computing,workflow management | Workflow Management Coalition,Workflow technology,Computer science,Windows Workflow Foundation,XPDL,Workflow engine,Workflow management system,Workflow,Event-driven process chain,Database,Distributed computing | Conference |
Citations | PageRank | References |
3 | 0.42 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvia D. Olabarriaga | 1 | 65 | 7.36 |
| Mohammad Mahdi Jaghoori | 2 | 187 | 15.25 |
| Vladimir Korkhov | 3 | 37 | 3.60 |
| Barbera van Schaik | 4 | 21 | 2.28 |
| Antoine van Kampen | 5 | 21 | 1.49 |