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The emergence of blockchain technology has renewed the interest inconsensus-based data management systems that are resilient to failures. Tomaximize the throughput of these systems, we have recently seen severalprototype consensus solutions that optimize for throughput at the expense ofoverall implementation complexity, high costs, and reliability. Due to this, itremains unclear how these prototypes will perform in real-world environments.In this paper, we present SPOTLESS, a novel concurrent rotational consensusprotocol made practical. Central to SPOTLESS is the combination of (1) achained rotational consensus design for replicating requests with a reducedmessage cost and low-cost failure recovery that eliminates the traditionalcomplex, error-prone view-change protocol; (2) the novel Rapid ViewSynchronization protocol that enables SPOTLESS to work in more general networkassumptions, without a need for a Global Synchronization Time to synchronizeview, and recover valid earlier views with the aid of non-faulty replicaswithout the need to rely on the primary; (3) a high-performance concurrentconsensus architecture in which independent instances of the chained consensusoperate concurrently to process requests with high throughput, thereby avoidingthe bottlenecks seen in other rotational protocols. Due to the concurrentconsensus architecture, SPOTLESS greatly outperforms traditional primary-backupconsensus protocols such as PBFT (by up to 430%), NARWHAL-HS (by up to 137%),and HOTSTUFF (by up to 3803%). Due to its reduced message cost, SPOTLESS iseven able to outperform RCC, a state-of-the-art high-throughput concurrentconsensus protocol, by up to 23%. Furthermore, SPOTLESS is able to maintain astable and low latency and consistently high throughput even during failures.

SpotLess: Concurrent Rotational Consensus Made Practical through Rapid View Synchronization