Clément Burgelin, Rachid Guerraoui, Zicong Hong, Yinan Hu, Anne-Marie Kermarrec, Rafael Pires, Rasmus Moorits Veski, Martijn de Vos · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30114 · open-access PDF
O consenso é um problema fundamental na computação distribuída e no núcleo da replicação de máquina de estado (SMR). Apesar de décadas de pesquisa humana ativa, a descoberta de soluções práticas de baixa latência para o problema ainda está aberta, pois requer a combinação de conhecimento de protocolo, raciocínio de correcção, implementação e avaliação experimental. Relatamos como a IA nos ajudou a descobrir A-greement, um novo protocolo de consenso para máquinas de estado geo-replicadas que supera significativamente as soluções de última geração.
Machine translation (Meta M2M100); the English original follows.
Consensus is a fundamental problem in distributed computing and at the core of state machine replication (SMR). Despite decades of active human research, discovering practical low-latency solutions to the problem is still open, as it requires combining protocol knowledge, correctness reasoning, implementation, and experimental evaluation. We report on how AI helped us discover A-greement, a new consensus protocol for geo-replicated state machines that significantly outperforms state-of-the-art solutions. Averaged across six deployments with 5 or 9 replicas, A-greement reduces the mean latency
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