A (In)Cast of Thousands: Scaling Datacenter TCP to Kiloservers and Gigabits
CARNEGIE-MELLON UNIV PITTSBURGH PA PARALLEL DATA LABORATORY
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This paper presents a practical solution to the problem of high-fan-in, high-bandwidth synchronized TCP workloads in datacenter Ethernets-the Incast problem. In these networks, receivers often experience a drastic reduction in throughput when simultaneously requesting data from many servers using TCP. Inbound data overfills small switch buffers, leading to TCP timeouts lasting hundreds of milliseconds. For many datacenter workloads that have a synchronization requirement e.g., file system reads and parallel data intensive queries, incast can reduce throughput by up to 90. Our solution for incast uses high-resolution timers in TCP to allow for microsecond-granularity timeouts. We show that this technique is effective in avoiding incast using simulation and real-world experiments. Last, we show that eliminating the minimum retransmission timeout bound is safe for all environments, including the wide-area.
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