ResilientDB: Global Scale Resilient Blockchain Fabric
Abstract
Recent developments in blockchain technology have inspired innovative new
designs in resilient distributed and database systems. At their core, these
blockchain applications typically use Byzantine fault-tolerant consensus
protocols to maintain a common state across all replicas, even if some replicas
are faulty or malicious. Unfortunately, existing consensus protocols are not
designed to deal with geo-scale deployments in which many replicas spread
across a geographically large area participate in consensus. To address this,
we present the Geo-Scale Byzantine FaultTolerant consensus protocol (GeoBFT).
GeoBFT is designed for excellent scalability by using a topological-aware
grouping of replicas in local clusters, by introducing parallelization of
consensus at the local level, and by minimizing communication between clusters.
To validate our vision of high-performance geo-scale resilient distributed
systems, we implement GeoBFT in our efficient ResilientDB permissioned
blockchain fabric. We show that GeoBFT is not only sound and provides great
scalability, but also outperforms state-of-the-art consensus protocols by a
factor of six in geo-scale deployments.