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Data center networks need to provide low latency, especially at the tail, asdemanded by many interactive applications. To improve tail latency, existingapproaches require modifications to switch hardware and/or end-host operatingsystems, making them difficult to be deployed. We present the design,implementation, and evaluation of RepNet, an application layer transport thatcan be deployed today. RepNet exploits the fact that only a few paths amongmany are congested at any moment in the network, and applies simple flowreplication to mice flows to opportunistically use the less congested path.RepNet has two designs for flow replication: (1) RepSYN, which only replicatesSYN packets and uses the first connection that finishes TCP handshaking fordata transmission, and (2) RepFlow which replicates the entire mice flow. Weimplement RepNet on {\tt node.js}, one of the most commonly used platforms fornetworked interactive applications. {\tt node}'s single threaded event-loop andnon-blocking I/O make flow replication highly efficient. Performance evaluationon a real network testbed and in Mininet reveals that RepNet is able to reducethe tail latency of mice flows, as well as application completion times, bymore than 50\%.

RepNet: Cutting Tail Latency in Data Center Networks with Flow Replication