AWARE: Adaptive Wide-Area Replication for Fast and Resilient Byzantine Consensus

TL;DR

AWARE is a dynamic system that optimizes wide-area Byzantine consensus by adjusting voting weights and leader placement to reduce latency in geographically distributed blockchain networks.

Contribution

It introduces an automated, adaptive mechanism for tuning voting weights and leader positioning to improve consensus speed and resilience across global networks.

Findings

AWARE reduces consensus latency in wide-area networks.

It dynamically adapts to changing network conditions.

Latency improvements are validated across AWS regions.

Abstract

With upcoming blockchain infrastructures, world-spanning Byzantine consensus is getting practical and necessary. In geographically distributed systems, the pace at which consensus is achieved is limited by the heterogenous latencies of connections between replicas. If deployed on a wide-area network, consensus-based systems benefit from weighted replication, an approach that utilizes extra replicas and assigns higher voting power to well connected replicas. This enables more choice in quorum formation and replicas can leverage proportionally smaller quorums to advance, thus decreasing consensus latency. However, the system needs a solution to autonomously adjust to its environment if network conditions change or faults occur. We present Adaptive Wide-Area REplication (AWARE), a mechanism which improves the geographical scalability of consensus with nodes being widely spread across the world. Essentially, AWARE is an automated and dynamic voting weight tuning and leader positioning scheme, which supports the emergence of fast quorums in the system. It employs a reliable self-monitoring process and provides a prediction model seeking to minimize the system's consensus latency. In experiments using several AWS EC2 regions, AWARE dynamically optimizes consensus latency by self-reliantly finding a fast weight configuration yielding latency gains observed by clients located across the globe.