File:Fig2 Antolik FrontInNeuro2018 12.jpg
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Summary
Description |
Figure 2. The architecture of the Arkheia MongoDB database. All data are stored in three MongoDB collections, one for the individual simulation runs, one for the parameter searches, and one optimized for storage of binary data using the GridFS service, which will store the images and movies that are referenced from the documents stored in the other two collections. Any HTML-permissible image or movie format is supported by Arkheia. |
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Source |
Antolik, J.; Davison, A.P. (2018). "Arkheia: Data management and communication for open computational neuroscience". Frontiers in Neuroinformatics 12: 6. doi:10.3389/fninf.2018.00006. |
Date |
2018 |
Author |
Antolik, J.; Davison, A.P. |
Permission (Reusing this file) |
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Licensing
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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current | 16:56, 3 April 2018 | 743 × 406 (161 KB) | Shawndouglas (talk | contribs) |
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