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Distributed storage employs replication to mask failures and improveavailability. However, these systems typically exhibit a hard tradeoff betweenconsistency and performance. Ensuring consistency introduces coordinationoverhead, and as a result the system throughput does not scale with the numberof replicas. We present Harmonia, a replicated storage architecture thatexploits the capability of new-generation programmable switches to obviate thistradeoff by providing near-linear scalability without sacrificing consistency.To achieve this goal, Harmonia detects read-write conflicts in the network,which enables any replica to serve reads for objects with no pending writes.Harmonia implements this functionality at line rate, thus imposing noperformance overhead. We have implemented a prototype of Harmonia on a clusterof commodity servers connected by a Barefoot Tofino switch, and have integratedit with Redis. We demonstrate the generality of our approach by supporting avariety of replication protocols, including primary-backup, chain replication,Viewstamped Replication, and NOPaxos. Experimental results show that Harmoniaimproves the throughput of these protocols by up to 10X for a replicationfactor of 10, providing near-linear scalability up to the limit of our testbed.

Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection