{"id":338510,"date":"2016-12-19T12:59:55","date_gmt":"2016-12-19T20:59:55","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=338510"},"modified":"2018-10-16T21:01:00","modified_gmt":"2018-10-17T04:01:00","slug":"using-time-instead-timeout-fault-tolerant-distributed-systems","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/using-time-instead-timeout-fault-tolerant-distributed-systems\/","title":{"rendered":"Using Time Instead of Timeout for Fault-Tolerant Distributed Systems"},"content":{"rendered":"

The genesis of this paper was my realization that, in a multiprocess system with synchronized clocks, the absence of a message can carry information. I was fascinated by the idea that a process could communicating zillions of bits of information by not sending messages. The practical implementation of Byzantine generals algorithms described in [46]<\/a> could be viewed as an application of this idea. I used the idea as something of a gimmick to justify the paper. The basic message of this paper should have been pretty obvious: the state machine approach, introduced in [27]<\/a>, allows us to turn any consensus algorithm into a general method for implementing distributed systems; the Byzantine generals algorithms of [46]<\/a> were fault-tolerant consensus algorithms; hence, we had fault-tolerant implementations of arbitrary distributed systems. I published the paper because I had found few computer scientists who understood this.<\/p>\n","protected":false},"excerpt":{"rendered":"

The genesis of this paper was my realization that, in a multiprocess system with synchronized clocks, the absence of a message can carry information. I was fascinated by the idea that a process could communicating zillions of bits of information by not sending messages. The practical implementation of Byzantine generals algorithms described in [46] could 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