Skip to main content
. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: IEEE Trans Big Data. 2018 Mar 6;5(2):109–119. doi: 10.1109/TBDATA.2018.2811508

Fig. 3.

Fig. 3.

Illustration of the HELPNI diagram and components. (a) shows the core part of HELPNI. This part consists of web application, file archiving, pipeline scheduler, local data storage, database and data visualization tools. All the external components interact with HELPNI core to transfer data. (b) demonstrates the data processing and cloud storage architecture of the platform. Based on the analysis procedure, user can define how the pipeline descriptor interacts with the computation machines. This includes Amazon EC2 linked to the S3 storage, GACRC high performance computing cluster and its networking file storage and our local server with 2 virtual machines. (c) shows different way of importing data to the platform. Platform can either feed from datasets or it can obtain the information directly from PACS server. (d) Illustrates the data sharing capacity of system from which researchers can interact with the system and access the raw, preprocessed or fully processed fMRI data. They can also implement their own Pipeline with obtaining special access to the system.