- Abstract:
-
When orchestrating data-centric workflows as are commonly found in the sciences, centralised servers can become a bottleneck to the performance of a workflow; output from service invocations are normally transferred via a centralised orchestration engine, when they should be passed directly to where they are needed at the next service in the workflow. To address this performance bottleneck, this paper presents a light-weight hybrid architecture which maintains the robustness and simplicity of centralised orchestration, but facilitates choreography by allowing services to exchange data directly with one another, reducing data that needs to be transferred through a centralised server. Furthermore our architecture is standards compliment, flexible and is a non-disruptive solution; service definitions do not have to be altered prior to enactment. Our architecture could be realised within any existing workflow framework, in this paper, we focus on a Web service based framework.
- Links To Paper
- 1st Link
- Bibtex format
- @InProceedings{EDI-INF-RR-1236,
- author = {
Adam Barker
and Jon Weissman
and Jano van Hemert
},
- title = {Orchestraing Data-Centric Workflows},
- book title = {The 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008)},
- publisher = {IEEE},
- year = 2008,
- month = {May},
- url = {http://www.adambarker.org/techreport_barker.pdf},
- }
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