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arXiv · 2606.25099

Ambulance: saving BFT through racing

Neil Giridharan·Shubham Mishra·Lorenzo Alvisi·Natacha Crooks·Benjamin Marsh·Hein Meling·Kartik Nayak·Grzegorz Prusak
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Abstract

Today's practical Byzantine Fault Tolerant (BFT) state machine replication deployments are vulnerable to slowdowns. The main culprit is timeouts. Aggressive timeouts spuriously trigger expensive leader changes, while conservative timeouts leave the system idle and let slowdowns severely inflate latency. Two main alternatives exist: hedging, which improves recovery from slow leaders but still incurs a time-based hedging delay, and cooperative asynchronous protocols, which recover quickly from slowdowns but suffer from high common-case latency and low throughput. This paper presents Ambulance: a BFT state machine replication protocol that sidesteps this trade-off through protocol-rigged races, where replicas, rather than race against the clock, race against each other by executing protocol steps. This enables Ambulance to achieve high throughput and low latency comparable to state-of-the-art timeout-based BFT, while matching the robustness of cooperative approaches.

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Neil Giridharan, Shubham Mishra, Lorenzo Alvisi, Natacha Crooks, Benjamin Marsh, Hein Meling, Kartik Nayak, Grzegorz Prusak. 2026-06-23. Ambulance: saving BFT through racing. https://arxiv.org/abs/2606.25099

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