Oriented to the application features of psychological
health analysis, this paper proposes a cloud architecture for
psychological health analysis and describes the process of
service component metadata representation, service
workflow customization and service execution. A service
component metadata representation method based on RDF
is presented. Users could query and choose the service
components by actual application requirement. Through
customizing the workflow on demand, various service
resources are grouped flexibly. For further improving the
efficiency of workflow execution, the workflow case
repository is constructed. The workflow reuse strategies are
determined by analyzing the similarity between history case
and current workflow. In experiment, the precision and
reuse rate of the workflow execution engine. and the
scalability of the architecture are validated respectively.
The results further proved the viability of the cloud
architecture for psychological health analysis