Abstract
A failure detector is a distributed oracle that provides each process with a module that continuously outputs an estimate of which processes in the system have failed. The perfect failure detector provides accurate and eventually complete information about process failures. We show that, in asynchronous failure-prone message-passing systems, perfect failure detection can be achieved using an oracle that outputs at most ⌈logα(n)⌉+1 bits per process in n-process systems, where α denotes the inverse-Ackermann function. This result is essentially optimal, as we also show that, in the same environment, no failure detector outputting a constant number of bits per process can achieve perfect failure detection.
| Original language | English |
|---|---|
| Article number | 104604 |
| Journal | Information and Computation |
| Volume | 275 |
| DOIs | |
| Publication status | Published - 1 Dec 2020 |
Keywords
- Distributed encoding
- Failure detectors
- Higman's lemma
- Well-quasi-order
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