We study the problems of failure detection and consensus in asynchronous systems in which processes may crash and recover, and links may lose messages. We \ufb01rst propose new failure detectors that are particularly suitable to the crash-recovery model. We next determine under what conditions stable storage is necessary to solve consensus in this model. Using the new failure detectors, we give two consensus algorithms that match these conditions: one requires stable storage and the other does not. Both algorithms tolerate link failures and are particularly ef\ufb01cient in the runs that are most likely in practice \u2013 those with no failures or failure detector mistakes. In such runs, consensus is achieved within 3\u03b4 time andwith4nmessages,where\u03b4 is the maximum message delay and n is the number of processes in the system.<\/p>\n","protected":false},"excerpt":{"rendered":"
We study the problems of failure detection and consensus in asynchronous systems in which processes may crash and recover, and links may lose messages. We \ufb01rst propose new failure detectors that are particularly suitable to the crash-recovery model. We next determine under what conditions stable storage is necessary to solve consensus in this model. 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