State of the art of European Public Object Storage - Q2 2023 - Big Data Multipart

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Most of the users tend to download objects via a single HTTP request but this is not adapted to the retrieving of very large files. It appears that bandwidth may be limited by connection, hence it's possible to outreach this bottleneck by parallelizing the download operation into several ones. Fortunately, this use case has been standardized in the RFC7233: Range Requests.

Again we use our tool os-benchmark to perform this custom operation. The tests are configurated as followed:

Object size of 10GB
3 object in the same bucket
10 simultaneous connections

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