Tolerating Disasters with Hierarchical Consensus

Fuente: arXiv
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Autori principali: Yahyaoui, Wassim, Bruneau-Queyreix, Joachim, Decouchant, Jérémie, Völp, Marcus
Natura: Preprint
Pubblicazione: 2025
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author Yahyaoui, Wassim
Bruneau-Queyreix, Joachim
Decouchant, Jérémie
Völp, Marcus
author_facet Yahyaoui, Wassim
Bruneau-Queyreix, Joachim
Decouchant, Jérémie
Völp, Marcus
contents Geo-replication provides disaster recovery after catastrophic accidental failures or attacks, such as fires, blackouts or denial-of-service attacks to a data center or region. Naturally distributed data structures, such as Blockchains, when well designed, are immune against such disruptions, but they also benefit from leveraging locality. In this work, we consolidate the performance of geo-replicated consensus by leveraging novel insights about hierarchical consensus and a construction methodology that allows creating novel protocols from existing building blocks. In particular we show that cluster confirmation, paired with subgroup rotation, allows protocols to safely operate through situations where all members of the global consensus group are Byzantine. We demonstrate our compositional construction by combining the recent HotStuff and Damysus protocols into a hierarchical geo-replicated blockchain with global durability guarantees. We present a compositionality proof and demonstrate the correctness of our protocol, including its ability to tolerate cluster crashes. Our protocol -ORION 1 -achieves a 20% higher throughput than GeoBFT, the latest hierarchical Byzantine Fault-Tolerant (BFT) protocol.
format Preprint
id arxiv_https___arxiv_org_abs_2504_21410
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tolerating Disasters with Hierarchical Consensus
Yahyaoui, Wassim
Bruneau-Queyreix, Joachim
Decouchant, Jérémie
Völp, Marcus
Distributed, Parallel, and Cluster Computing
Geo-replication provides disaster recovery after catastrophic accidental failures or attacks, such as fires, blackouts or denial-of-service attacks to a data center or region. Naturally distributed data structures, such as Blockchains, when well designed, are immune against such disruptions, but they also benefit from leveraging locality. In this work, we consolidate the performance of geo-replicated consensus by leveraging novel insights about hierarchical consensus and a construction methodology that allows creating novel protocols from existing building blocks. In particular we show that cluster confirmation, paired with subgroup rotation, allows protocols to safely operate through situations where all members of the global consensus group are Byzantine. We demonstrate our compositional construction by combining the recent HotStuff and Damysus protocols into a hierarchical geo-replicated blockchain with global durability guarantees. We present a compositionality proof and demonstrate the correctness of our protocol, including its ability to tolerate cluster crashes. Our protocol -ORION 1 -achieves a 20% higher throughput than GeoBFT, the latest hierarchical Byzantine Fault-Tolerant (BFT) protocol.
title Tolerating Disasters with Hierarchical Consensus
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2504.21410