ABM: active buffer management in datacenters
Vamsi Addanki, Maria Apostolaki, Manya Ghobadi, Stefan Schmid, Laurent Vanbever
摘要
Today's network devices share buffer across queues to avoid drops during transient congestion and absorb bursts. As the buffer-per-bandwidth-unit in datacenter decreases, the need for optimal buffer utilization becomes more pressing. Typical devices use a hierarchical packet admission control scheme: First, a Buffer Management (BM) scheme decides the maximum length per queue at the device level and then an Active Queue Management (AQM) scheme decides which packets will be admitted at the queue level. Unfortunately, the lack of cooperation between the two control schemes leads to (i) harmful interference across queues, due to the lack of isolation; (ii) increased queueing delay, due to the obliviousness to the per-queue drain time; and (iii) thus unpredictable burst tolerance. To overcome these limitations, we propose ABM, Active Buffer Management which incorporates insights from both BM and AQM. Concretely, ABM accounts for both total buffer occupancy (typically used by BM) and queue drain time (typically used by AQM). We analytically prove that ABM provides isolation, bounded buffer drain time and achieves predictable burst tolerance without sacrificing throughput. We empirically find that ABM improves the 99th percentile FCT for short flows by up to 94% compared to the state-of-the-art buffer management. We further show that ABM improves the performance of advanced datacenter transport protocols in terms of FCT by up to 76% compared to DCTCP, TIMELY and PowerTCP under bursty workloads even at moderate load conditions.
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引用它的顶会 Paper18
- Empowering Azure Storage with RDMAWei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre 等NSDI 2023 · 被引用 117 次
- Reverie: Low Pass Filter-Based Switch Buffer Sharing for Datacenters with RDMA and TCP TrafficVamsi Addanki, Wei Bai, Stefan Schmid, Maria ApostolakiNSDI 2024 · 被引用 33 次
- Credence: Augmenting Datacenter Switch Buffer Sharing with ML PredictionsVamsi Addanki, Maciej Pacut, Stefan SchmidNSDI 2024 · 被引用 22 次
- Unison: A Parallel-Efficient and User-Transparent Network Simulation KernelSongyuan Bai, Hao Zheng, Chen Tian, Xiaoliang Wang 等EuroSys 2024 · 被引用 20 次
- Pyrrha: Congestion-Root-Based Flow Control to Eliminate Head-of-Line Blocking in DatacenterKexin Liu, Zhaochen Zhang, Chang Liu, Yizhi Wang 等NSDI 2025 · 被引用 13 次
它引用的顶会 Paper8
- Swift: Delay is Simple and Effective for Congestion Control in the DatacenterGautam Kumar, Nandita Dukkipati, Keon Jang, Hassan M. G. Wassel 等SIGCOMM 2020 · 被引用 333 次
- Programmable Calendar Queues for High-speed Packet SchedulingNaveen Kr. Sharma, Chenxingyu Zhao, Ming Liu, Pravein G. Kannan 等NSDI 2020 · 被引用 119 次
- PowerTCP: Pushing the Performance Limits of Datacenter NetworksVamsi Addanki, Oliver Michel, Stefan SchmidNSDI 2022 · 被引用 116 次
- Annulus: A Dual Congestion Control Loop for Datacenter and WAN Traffic AggregatesAhmed Saeed, Varun Gupta, Prateesh Goyal, Milad Sharif 等SIGCOMM 2020 · 被引用 72 次
- Breaking the Transience-Equilibrium Nexus: A New Approach to Datacenter Packet TransportShiyu Liu, Ahmad Ghalayini, Mohammad Alizadeh, Balaji Prabhakar 等NSDI 2021 · 被引用 53 次
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