Researchers want to analyse Health Care data which may requires large pools of compute and data resources. To have them they need access to Distributed Computing Infrastructures (DCI) To use them it requires expertise...
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ISBN:
(纸本)9781479925049
Researchers want to analyse Health Care data which may requires large pools of compute and data resources. To have them they need access to Distributed Computing Infrastructures (DCI) To use them it requires expertise which researchers may not have. workflows can hide infrastructures. There are many workflow systems but they are not interoperable. To learn a workflow system and create workflows in a workflow system may require significant effort. Considering these efforts it is not reasonable to expect that researchers will learn new workflow systems if they want to run workflows of other workflow systems. As a result, the lack of interoperability prevents workflowsharing and a vast amount of research efforts is wasted. The fp7sharinginteroperableworkflow for large-scalescientificsimulation on Available DCIs (SHIWA) project developed the Coarse-Grained Interoperability (CGI) to enable workflowsharing. The project created the SHIWA simulation Platform (SSP) to support CGI as a production-level service. The paper describes how the CGI approach can be used for analysis and simulation in Health Care.
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