Abstract
When the emergence of 'service-oriented science,' the need arises to orchestrate multiple services to facilitate scientific investigation-that is, to create 'science workflows.' We present here our findings in providing a workflow solution for the caGrid service-based grid infrastructure. We choose BPEL and Taverna as candidates, and compare their usability in the lifecycle of a scientific workflow, including workflow composition, execution, and result analysis. Our experience shows that BPEL as an imperative language offers a comprehensive set of modeling primitives for workflows of all flavors; whereas Taverna offers a dataflow model and a more compact set of primitives that facilitates dataflow modeling and pipelined execution. We hope that this comparison study not only helps researchers to select a language or tool that meets their specific needs, but also offers some insight into how a workflow language and tool can fulfill the requirement of the scientific community.
| Original language | English |
|---|---|
| Pages (from-to) | 1098-1117 |
| Number of pages | 20 |
| Journal | Concurrency and Computation: Practice and Experience |
| Volume | 22 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 25 Jun 2010 |
Keywords
- BPEL
- CaGrid
- Functional programming
- Scientific workflow
- Taverna
ASJC Scopus subject areas
- Theoretical Computer Science
- Software
- Computer Science Applications
- Computer Networks and Communications
- Computational Theory and Mathematics