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This is not the case for Chord: For the same percentage of failed nodes, the probability of facing at least a failed node is around 80%, while the percentage of failed lookups reaches more than 35%.
In SHAM, when the percentage of failed nodes is 20% for instance, the probability that a query will encounter at least a failed node is around 65%, yet, the percentage of failed queries is less than 10%.
From Fig. 10 a, we notice that in SHAM and Chord, as the percentage of failed nodes increases, the probability that a query will face at least a failed node also increases.
a Probability that a query will encounter a failed node.
Furthermore, DCR moves the backup node to the failed node, and the failed node is not at BestPosition most of the time.
If all neighbors are critical, RECRA employs neighbors of the failed node by increasing their transmission power and moving them towards the failed node.
The critical of backup node will change into that of the failed node.
A non-critical node will simply replace the failed node and the recovery will be complete.
Thus, the p-cycle satisfies the constraints and can protect the failed node.
The communication is maintained just between the failed node and its backup node.
This is because RIM requires all the neighbors of the failed node to move inward.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com