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New Object Storage Protocol Could Mean the End for POSIX

Saturday Oct 3rd 2020

POSIX has scalability and performance limitations that will become increasingly important in data-intensive applications like deep learning, but until now it has retained one key advantage over the infinitely scalable object storage: the ability to process data in memory. That advantage is now gone.

POSIX has scalability and performance limitations that will become increasingly important in data-intensive applications like deep learning, but until now it has retained one key advantage over the infinitely scalable object storage: the ability to process data in memory. That advantage is now gone with the new mmap_obj() function, which paves the way for object storage to become the preferred approach to Big Data applications.

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