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Cited by 19 publications
(26 citation statements)
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“…The latter point is particularly important, as all processes being faulty at the same time will lead to a situation where any ''knowledge'' of the initial values is lost, and therefore it is impossible to guarantee the Validity property of consensus. When consensus is invoked repeatedly (on a stream of initial values) it is possible to guarantee in self-stabilizing settings that eventually all new instances guarantee the properties of consensus [24,25].…”
Section: Related Workmentioning
confidence: 99%
“…The latter point is particularly important, as all processes being faulty at the same time will lead to a situation where any ''knowledge'' of the initial values is lost, and therefore it is impossible to guarantee the Validity property of consensus. When consensus is invoked repeatedly (on a stream of initial values) it is possible to guarantee in self-stabilizing settings that eventually all new instances guarantee the properties of consensus [24,25].…”
Section: Related Workmentioning
confidence: 99%
“…It refers to one instance of consensus which stabilizes at the end; not multiple instances as we consider in this paper. In [9], a self-stabilizing form of consensus was proposed: assuming a self-stabilizing implementation of S (also described in the paper) and executing a sequence of consensus instances, validity and agreement are eventually ensured. Their consensus abstraction is close to ours but the authors focused on the shared-memory model and did not address the question of the weakest failure detector.…”
Section: Related Workmentioning
confidence: 99%
“…A recent research line on (practically) self-stabilizing versions of replicated state machines [1,6,9,10] obtains self-stabilizing replicated state machines in shared memory as well as synchronized and asynchronous message passing systems.…”
Section: Contributionsmentioning
confidence: 99%