Code Sample: Overview of Erasure Coding
Learn how the Intel® Intelligent Storage Library implementation of Reed-Solomon erasure coding schemes can keep up with storage requirements.
The second point is that we are measuring the latency numbers. And we are measuring time. If we work back these numbers, we get to the throughput numbers. And that is what I called out previously.
If you do 256 megabytes in 46 milliseconds, or 4,600 microseconds, you work backwards. And you get the 5.5 gigabytes per second throughput.
The third point is this optimizes the latency and throughput. And as it is configurable and flexible, you can deploy it in number of servers, or if not servers, nodes within your individual server. The example shows a method on how to incorporate the Intel® ISA-L Reed-Solomon error correction feature into your storage applications and shows how to be able to prepare the data and recover data, which can help you on how to adapt to the technology.
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