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High performance rack-scale offerings package disaggregated pools of compute,memory and storage hardware in a single rack to run diverse workloads withvarying requirements, including applications that need low and predictablelatency. The intra-rack network is typically high speed Ethernet, which cansuffer from congestion leading to packet drops and may not satisfy thestringent tail latency requirements for some workloads (including remotememory/storage accesses). In this paper, we design a Predictable LowLatency(PL2) network architecture for rack-scale systems with Ethernet asinterconnecting fabric. PL2 leverages programmable Ethernet switches tocarefully schedule packets such that they incur no loss with NIC and switchqueues maintained at small, near-zero levels. In our 100 Gbps rack-prototype,PL2 keeps 99th-percentile memcached RPC latencies under 60us even when the RPCscompete with extreme offered-loads of 400%, without losing traffic. Networktransfers for a machine learning training task complete 30% faster than areceiver-driven scheme implementation modeled after Homa (222ms vs 321ms 99%ilelatency per iteration).

PL2: Towards Predictable Low Latency in Rack-Scale Networks