NDSS2026

Consensus in the Known Participation Model with Byzantine Faults and Sleepy Replicas

Chenxu Wang, Sisi Duan, Minghui Xu, Feng Li, Xiuzhen Cheng

Abstract

We study consensus in the known participation model with both Byzantine failures and sleepy replicas, where honest replicas may unpredictably fall asleep, and replicas know the minimum number of awake honest replicas. Our main contribution is providing a fine-grained treatment of consensus in such a mixed failure model. First, we present a synchronous atomic broadcast protocol with 5Delta+2delta5Delta+2delta expected latency and 2Delta+2delta2Delta+2delta best-case latency, where DeltaDelta is the bound on network delay and deltadelta is the actual network delay. Second, in the partially synchronous network (the value of DeltaDelta is unknown), we show that one can make a conventional Byzantine fault-tolerant (BFT) protocol tolerate sleepy replicas but has to make the stable storage assumption (where replicas need to store intermediate consensus parameters in stable storage). Finally, in the partially synchronous network but not assuming stable storage, we show several bounds on the relationship between the total number of replicas nn, the maximum number of Byzantine replicas ff, and the maximum number of simultaneous sleeping replicas ss. Using these bounds, we transform HotStuff (PODC'19) into a protocol that tolerates sleepy replicas without sacrificing the performance.