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. Author manuscript; available in PMC: 2022 Apr 27.
Published in final edited form as: Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2413–2418. doi: 10.1109/EMBC46164.2021.9630199

Fig. 2.

Fig. 2.

Many factors impact data download rate. As an illustration, we tuned the chunk-size parameters for parallel- and non-parallel downloads from the BossDB remote. A. Performance was impacted by client-side compute speed (for data decompression) as well as network throughput, illustrating possible avenues for further abstraction of other remotes. B. Chunked data stores benefit from data requests that are aligned to the cuboid subdivisions in the server backend. This effect is more pronounced in filesystem-based data-stores such as CloudVolume or Zarr, as the cuboid periphery must be downloaded and cropped on local compute resources. In contrast, data stores with cloud-side compute (such as DVID or BossDB) can perform this cropping operation prior to data download, and so the additional egress burden is not incurred.