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docs: fix all Chinese doc links for the new docs site (#6097)

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Additionally fix typos, default to US locale words
This commit is contained in:
Harshavardhana
2018-06-28 16:02:02 -07:00
committed by GitHub
parent de251483d1
commit e5e522fc61
42 changed files with 113 additions and 111 deletions
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2
docs/erasure/README.md
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@@ -18,7 +18,7 @@ Erasure code protects data from multiple drives failure, unlike RAID or replicat
## What is Bit Rot protection?
Bit Rot, also known as data rot or silent data corruption is a data loss issue faced by disk drives today. Data on the drive may silently get corrupted without signalling an error has occurred, making bit rot more dangerous than a permanent hard drive failure.
Bit Rot, also known as data rot or silent data corruption is a data loss issue faced by disk drives today. Data on the drive may silently get corrupted without signaling an error has occurred, making bit rot more dangerous than a permanent hard drive failure.
Minio's erasure coded backend uses high speed [HighwayHash](https://blog.minio.io/highwayhash-fast-hashing-at-over-10-gb-s-per-core-in-golang-fee938b5218a) checksums to protect against Bit Rot.

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docs/erasure/storage-class/README.md
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@@ -11,8 +11,8 @@ saving the object in specific number of data and parity disks.
## Storage usage
The selection of varying data and parity drives has a direct impact on the drive space usage. With storage class, you can optimise for high
redundancy or better drive space utilisation.
The selection of varying data and parity drives has a direct impact on the drive space usage. With storage class, you can optimize for high
redundancy or better drive space utilization.
To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored
on 16 drive Minio deployment. If you use eight data and eight parity drives, the file space usage will be approximately twice, i.e. 100 MiB