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solution to deal with increasing number of simulated anatomical head models (and different species) - which will even dynamically grow, once we add personalized modeling.
idea: avoid just packing it all into one huge service. create a kind of extensible, mountable (?) library
The text was updated successfully, but these errors were encountered:
Evaluation of HSDS, a highly scalable data service based on the hdf5 file format. Can be served using a S3 backend. Allows to stream specific datasets/snapshots from the files without opening/downloading everything. Following things have been looked at:
Deployment (very easy, docker-compose based)
c++ volume adapter does not work out-of the box (not the whole API consumed by CStorage is supported from by the REST API). That would allow to use HSDS directly from sim4life without any changes to the code base.
pythonh5pyd client works very well, has same API as h5py
solution to deal with increasing number of simulated anatomical head models (and different species) - which will even dynamically grow, once we add personalized modeling.
idea: avoid just packing it all into one huge service. create a kind of extensible, mountable (?) library
The text was updated successfully, but these errors were encountered: