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MICRO2022顶会

ALTOCUMULUS: Scalable Scheduling for Nanosecond-Scale Remote Procedure Calls

Jiechen Zhao, Iris Uwizeyimana, Karthik Ganesan, Mark C. Jeffrey, Natalie Enright Jerger

2022年份
11被引次数
7顶会引用

摘要

Online services in modern datacenters use Remote Procedure Calls (RPCs) to communicate between different software layers. Despite RPCs using just a few small functions, inefficient RPC handling can cause delays to propagate across the system and degrade end-to-end performance. Prior work has reduced RPC processing time to less than 1 μs, which now shifts the bottleneck to the scheduling of RPCs. Existing RPC schedulers suffer from either high overheads, inability to effectively utilize high core-count CPUs or do not adaptively fit different traffic patterns. To address these shortcomings, we present ALTOCUMULUS, 1 a scalable, software-hardware codesign to schedule RPCs at nanosecond scales. ALTOCUMULUS provides a proactive scheduling scheme and low-overhead messaging mechanism on top of a decentralized user runtime. ALTOCUMULUS also offers direct access from the user space to a set of simple hardware primitives to quickly migrate long-latency RPCs. We evaluate ALTOCUMULUS with synthetic workloads and an end-to-end in-memory key-value store application under real-world traffic patterns. ALTOCUMULUS improves throughput by 1.3-24.6× under a 99 th percentile latency <300 μs and reduces tail latency by up to 15.8× on 16-core systems over current state-of-the-art software and hardware schedulers. For 256-core systems, integrating ALTOCUMULUS with either a hardware-optimized NIC or commodity PCIe NIC can improve throughput by 2.8× or 2.7×, respectively, under 99 th percentile latency <8.5 μs.

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