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authorQuentin Dufour <quentin@deuxfleurs.fr>2020-10-13 12:16:02 +0200
committerQuentin Dufour <quentin@deuxfleurs.fr>2020-10-13 12:16:02 +0200
commitc21124b02ed124057708de4ce0a9ed3bfb284c11 (patch)
treec11fea32b974b27e0ed750df2294a8d4a1289c74 /src/Technique/Développement/Garage.md
parenta548e46fa4d369b1afc979f35c143748986ee9f5 (diff)
downloadsite-c21124b02ed124057708de4ce0a9ed3bfb284c11.tar.gz
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Fix Garage page
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@@ -39,6 +39,11 @@ Swift and Pithos are probably the most similar to AWS S3 with their consistent h
There was many attempts in research too. I am only thinking to [LBFS](https://pdos.csail.mit.edu/papers/lbfs:sosp01/lbfs.pdf) that was used as a basis for Seafile.
+----
+
+## Random notes
+
+
- Cassandra (ScyllaDB) for metadata
- Own system using consistent hashing for data chunks
@@ -59,7 +64,7 @@ _Remark 1_ I really like the Rabin fingerprinting approach however deduplication
_Remark 2_ Seafile idea has been stolen from this article: https://pdos.csail.mit.edu/papers/lbfs:sosp01/lbfs.pdf
-#### Random notes
+
--> we should not talk about block. It is the abstraction that manipulate your FS to interact with your hard drive. "Chunk" is probably more appropriate. Block storage are a class of distributed storage where you expose the abstraction of your hard drive over the network, mainly SATA over ethernet, thinking to SCSI, FiberChannel, and so on