Fast asynchronous byzantine agreement and leader election with full information

ACM Transactions on Algorithms (TALG)(2010)

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摘要
We resolve two long-standing open problems in dis- tributed computation by describing polylogarithmic protocols for Byzantine agreement and leader election in the asynchronous full information model with a non- adaptive malicious adversary. All past protocols for asynchronous Byzantine Agreement had been exponen- tial, and no protocol for asynchronous leader election had been known. Our protocols tolerate up to n 6+ǫ faulty processors, for any positive constant ǫ. They are Monte Carlo, succeeding with probability 1 − o(1) for Byzantine agreement, and constant probability for leader election. A key technical contribution of our paper is a new approach for emulating Feige's lightest bin protocol, even with adversarial message scheduling.
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关键词
monte carlo,information model,distributed algorithms,asynchronous communication,leader election,probabilistic method,monte carlo algorithm,distributed algorithm,distributed computing
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