{"id":152698,"date":"2003-10-01T00:00:00","date_gmt":"2003-10-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/scalable-byzantine-fault-quantifying-clock-synchronization\/"},"modified":"2018-10-16T20:10:52","modified_gmt":"2018-10-17T03:10:52","slug":"scalable-byzantine-fault-quantifying-clock-synchronization","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/scalable-byzantine-fault-quantifying-clock-synchronization\/","title":{"rendered":"Scalable Byzantine-Fault-Quantifying Clock Synchronization"},"content":{"rendered":"
\n

We present a scalable protocol for establishing bounds on clock synchronization in the presence of Byzantine faults. The worst a faulty participant can do to a correct host is cause the correct host to establish (arbitrarily) weak but correct bounds; because the correct hosts knows what those bounds are, we refer to the protocol as Byzantine-fault quantifying. Correct hosts can use the quantified bounds to inform path selection, enabling them to route around misbehaving hosts.<\/p>\n

We describe how to employ the protocol in a practical environment that makes use of Byzantine-fault tolerant replicated state machines.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

We present a scalable protocol for establishing bounds on clock synchronization in the presence of Byzantine faults. The worst a faulty participant can do to a correct host is cause the correct host to establish (arbitrarily) weak but correct bounds; because the correct hosts knows what those bounds are, we refer to the protocol as 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