Abstract | ||
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Scientific workflows normally consist of multiple applications acquiring and transforming data, running data intensive analyses and visualizing the results for scientific discovery. In this paper, we present our application of Service-Oriented Architecture (SOA) to compose and deploy systems biology workflows. In developing this application, our solution uses MeDICi a middleware framework built on SOA platforms as an integration layer. We discuss our experience and lessons learnt about this solution that are generally applicable to scientific workflows in other domains. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/SOSE.2011.6139101 | SoSE |
Keywords | Field | DocType |
service-oriented architecture,data intensive analysis,soa framework,middleware framework,scientific workflows,scientific workflows composition,deploy systems biology workflows,lessons learnt,scientific discovery,integration layer,multiple application,soa platform,real time,soa,service oriented architecture,system biology,middleware,genomics,computer architecture,cloud computing,protocols,testbed,pipelines,data visualization | Middleware,Data visualization,Architecture,Software deployment,Computer science,Testbed,Workflow,Service-oriented architecture,Distributed computing,Cloud computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yan Liu | 1 | 2551 | 189.16 |
Ian Gorton | 2 | 1488 | 134.37 |
Adam Wynne | 3 | 68 | 9.41 |
Anand Kulkarni | 4 | 447 | 21.01 |