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Optimal Resilience Asynchronous Approximate Agreement
Author(s) -
Ittai Abraham,
Yonatan Amit,
Danny Dolev
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-27324-7
DOI - 10.1007/11516798_17
Subject(s) - asynchronous communication , computer science , byzantine fault tolerance , resilience (materials science) , bounded function , quantum byzantine agreement , range (aeronautics) , convergence (economics) , process (computing) , function (biology) , fault tolerance , algorithm , distributed computing , theoretical computer science , mathematics , computer network , mathematical analysis , physics , evolutionary biology , biology , economics , thermodynamics , economic growth , operating system , materials science , composite material
Consider an asynchronous system where each process begins with an arbitrary real value. Given some fixed ε0, an approximate agreement algorithm must have all non-faulty processes decide on values that are at most ε from each other and are in the range of the initial values of the non-faulty processes. Previous constructions solved asynchronous approximate agreement only when there were at least 5t+1 processes, t of which may be Byzantine. In this paper we close an open problem raised by Dolev et al. in 1983. We present a deterministic optimal resilience approximate agreement algorithm that can tolerate any t Byzantine faults while requiring only 3t+1 processes. The algorithm's rate of convergence and total message complexity are efficiently bounded as a function of the range of the initial values of the non-faulty processes. All previous asynchronous algorithms that are resilient to Byzantine failures may require arbitrarily many messages to be sent.

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