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configuration.txt and servers-of-happiness.txt: 1 <= happy <= N, not k <= happy <= N. Also minor wording changes.
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@ -246,7 +246,7 @@ stats_gatherer.furl = (FURL string, optional)
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shares.needed = (int, optional) aka "k"
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shares.total = (int, optional) aka "N", N >= k
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shares.happy = (int, optional) k <= happy <= N
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shares.happy = (int, optional) 1 <= happy <= N
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These three values set the default encoding parameters. Each time a new file
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is uploaded, erasure-coding is used to break the ciphertext into separate
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@ -273,10 +273,13 @@ shares.happy = (int, optional) k <= happy <= N
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uses.
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shares.happy allows you control over the distribution of your immutable file.
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An upload is only considered successful if shares are placed on at least
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'shares.happy' distinct servers, the correct functioning of at least k of
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which is sufficient to guarantee the availability of the uploaded file. This
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value should not be larger than the number of servers on your grid.
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For a successful upload, shares are guaranteed to be initially placed on
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at least 'shares.happy' distinct servers, the correct functioning of any
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k of which is sufficient to guarantee the availability of the uploaded file.
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This value should not be larger than the number of servers on your grid.
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A value of shares.happy <= k is allowed, but does not provide any redundancy
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if some servers fail or lose shares.
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(Mutable files use a different share placement algorithm that does not
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consider this parameter.)
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@ -3,12 +3,12 @@
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When you upload a file to a Tahoe-LAFS grid, you expect that it will
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stay there for a while, and that it will do so even if a few of the
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peers on the grid stop working, or if something else goes wrong. An
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upload health metric helps to make sure that this actually happens. An
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upload health metric is essentially a test that looks at a file on a
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Tahoe-LAFS grid and says whether or not that file is healthy; that is,
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whether it is distributed on the grid in such a way as to ensure that it
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will probably survive in good enough shape to be recoverable even if a
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few things go wrong between the time of the test and the time that it is
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upload health metric helps to make sure that this actually happens.
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An upload health metric is a test that looks at a file on a Tahoe-LAFS
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grid and says whether or not that file is healthy; that is, whether it
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is distributed on the grid in such a way as to ensure that it will
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probably survive in good enough shape to be recoverable, even if a few
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things go wrong between the time of the test and the time that it is
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recovered. Our current upload health metric for immutable files is called
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'servers-of-happiness'; its predecessor was called 'shares-of-happiness'.
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@ -27,9 +27,9 @@ servers-of-happiness addresses this by extending the share-focused
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upload health metric to also consider the location of the shares on
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grid. servers-of-happiness looks at the mapping of peers to the shares
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that they hold, and compares the cardinality of the largest happy subset
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of those with a user-configurable threshold (A happy subset of peers has
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of those to a user-configurable threshold. A happy subset of peers has
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the property that any k (where k is as in k-of-n encoding) peers within
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the subset can reconstruct the source file). This definition of file
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the subset can reconstruct the source file. This definition of file
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health provides a stronger assurance of file availability over time;
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with 3-of-10 encoding, and happy=7, a healthy file is still guaranteed
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to be available even if 4 peers fail.
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@ -65,7 +65,7 @@ is inefficient; for k = 3, and if there are n peers, it corresponds to
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an expansion factor of 10x. Layouts that are declared healthy by the
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bipartite graph matching approach have the property that they correspond
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to uploads that are either already relatively efficient in their
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utilization of space, or can be made to be so by deleting shares, and
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utilization of space, or can be made to be so by deleting shares; and
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that place all of the shares that they generate, enabling redistribution
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of shares later without having to re-encode the file. Also, it is
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computationally reasonable to compute a maximum matching in a bipartite
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