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https://issues.apache.org/jira/browse/HDFS-1094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12882774#action_12882774
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Tsz Wo (Nicholas), SZE commented on HDFS-1094:
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Quoted from prob.pdf:
{quote}
We consider the probability of data loss in a cluster of n machines, containing
b data blocks replicated
randomly with a replication factor of r. Let us call this probability p_loss
~random~(n, b, r).
{quote}
It seems that the probability model described in prob.pdf is incorrect. Data
loss probability P depends on time T. The longer time the cluster runs, the
higher the probability of data loss. The authors seems assuming P is
independent from T.
> Intelligent block placement policy to decrease probability of block loss
> ------------------------------------------------------------------------
>
> Key: HDFS-1094
> URL: https://issues.apache.org/jira/browse/HDFS-1094
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: name-node
> Reporter: dhruba borthakur
> Assignee: Rodrigo Schmidt
> Attachments: prob.pdf, prob.pdf
>
>
> The current HDFS implementation specifies that the first replica is local and
> the other two replicas are on any two random nodes on a random remote rack.
> This means that if any three datanodes die together, then there is a
> non-trivial probability of losing at least one block in the cluster. This
> JIRA is to discuss if there is a better algorithm that can lower probability
> of losing a block.
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