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| author | Chris Lu <chrislusf@users.noreply.github.com> | 2020-12-29 21:15:09 -0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-12-29 21:15:09 -0800 |
| commit | adda3207c4d98532b6666d7da7a4dccdc26090be (patch) | |
| tree | 0393a01ce39d582686a42cc180fc3420e6f33468 | |
| parent | c1cd6dd8d69c14d8048a409cc352e071b5821a3c (diff) | |
| download | seaweedfs-adda3207c4d98532b6666d7da7a4dccdc26090be.tar.xz seaweedfs-adda3207c4d98532b6666d7da7a4dccdc26090be.zip | |
Update README.md
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -335,7 +335,7 @@ Usually hot data are fresh and warm data are old. SeaweedFS puts the newly creat With the O(1) access time, the network latency cost is kept at minimum. -If the hot~warm data is split as 20~80, with 20 servers, you can achieve storage capacity of 100 servers. That's a cost saving of 80%! Or you can repurpose the 80 servers to store new data also, and get 5X storage throughput. +If the hot/warm data is split as 20/80, with 20 servers, you can achieve storage capacity of 100 servers. That's a cost saving of 80%! Or you can repurpose the 80 servers to store new data also, and get 5X storage throughput. [Back to TOC](#table-of-contents) |