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Data processing requests generally originate from CV Presentation Objects#experiment_experiment laboratory which validate requests by invoking an  AAAI service . The  CV Presentation Objects#experiment_experiment laboratory will send a process request to a coordination service , which interprets the request and starts a processing workflow by invoking the required CV Component Objects#process_process controller. Data will be retrieved from the data store and passed to the execution platform, the  coordination service will request that a data transfer service to prepare a data transfer.

Data will be retrieved from the data store and passed to the execution platform, the  coordination service will request that a data transfer service to prepare a data transfer. The  data transfer service will then configure and deploy a CV Component Objects#data_data exporter which will handle the transfer of data between the storage and execution platforms, i.e. performing data staging. A data-flow is established between all required  CV Component Objects#data_data store _ controllers and  CV Component Objects#process_process controller via the  CV Component Objects#data_data exporter. After the data-flow is established, processing starts. Processing can include a host of activities such as summarising, mining, charting, mapping, amongst many others. The details are left open to allow the modelling of any processing procedure. The expected output of the processing activities is a derived data product, which in turn will need to be persisted into the RIs data stores.

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titleData Processing Subsystem - data persistence

Notation of Computational Viewpoint Models#notation_cv_objects