Voting-based probabilistic consensuses and their applications in distributed ledgers

被引:1
|
作者
Popov, Serguei [1 ,2 ]
Muller, Sebastian [2 ,3 ]
机构
[1] Univ Porto, Ctr Matemat, Porto, Portugal
[2] IOTA Fdn, D-10405 Berlin, Germany
[3] Aix Marseille Univ, CNRS, Cent Marseille, I2M,UMR 7373, F-13453 Marseille, France
关键词
Distributed ledgers; Majority dynamics; Metastability; External Randomness; Fast probabilistic consensus (FPC); MAJORITY DYNAMICS; VOTER MODELS; PROTOCOLS; THEOREMS; LIMITS;
D O I
10.1007/s12243-021-00875-7
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
We review probabilistic models known as majority dynamics (also known as threshold voter models) and discuss their possible applications for achieving consensus in cryptocurrency systems. In particular, we show that using this approach in a straightforward way for practical consensus in a Byzantine setting can be problematic and requires extensive further research. We then discuss the Fast Probabilistic Consensus (FPC) protocol (Popov and Buchanan, J Parallel Distrib Comput 147:77-86, 2021), which circumvents the problems mentioned above by using external randomness.
引用
收藏
页码:77 / 99
页数:23
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