SRCC: Sub-RTT Congestion Control for Lossless Datacenter Networks

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2024-12-26 DOI:10.1109/TII.2024.3495759
Jinbin Hu;Shuying Rao;Min Zhu;Jiawei Huang;Jianxin Wang;Jin Wang
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Abstract

To meet the stringent requirements of industrial applications, modern Ethernet datacenter networks widely deployed with remote direct memory access (RDMA) technology and priority-based flow control (PFC) scheme aim at providing low latency and high throughput transmission performance. However, the existing end-to-end congestion control cannot handle the transient congestion timely due to the round-trip-time (RTT) level control loop, inevitably resulting in PFC triggering. In this article, we propose a Sub-RTT congestion control mechanism called SRCC to alleviate bursty congestion timely. Specifically, SRCC identifies the congested flows accurately, notifies congestion directly from the hotspot to the corresponding source at the sub-RTT control loop and adjusts the sending rate to avoid PFC's head-of-line blocking. Compared to the state-of-the-art end-to-end transmission protocols, the evaluation results show that SRCC effectively reduces the average flow completion time (FCT) by up to 61%, 52%, 40%, and 24% over datacenter quantized congestion notification (DCQCN), Swift, high precision congestion control (HPCC), and photonic congestion notification (PCN), respectively.
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无损数据中心网络的子rtt拥塞控制
为了满足工业应用的严格要求,现代以太网数据中心网络广泛部署了远程直接内存访问(RDMA)技术和基于优先级的流量控制(PFC)方案,旨在提供低延迟和高吞吐量的传输性能。然而,现有的端到端拥塞控制由于RTT (round-trip-time,往返时间)级别控制环路的存在,无法及时处理瞬时拥塞,不可避免地导致PFC触发。在本文中,我们提出了一种称为SRCC的子rtt拥塞控制机制来及时缓解突发拥塞。具体来说,SRCC可以准确地识别出拥塞流,直接从热点向子rtt控制环路的相应源通知拥塞,并调整发送速率以避免PFC的头部阻塞。与最先进的端到端传输协议相比,评估结果表明,与数据中心量化拥塞通知(DCQCN)、Swift、高精度拥塞控制(HPCC)和光子拥塞通知(PCN)相比,SRCC有效地减少了平均流量完成时间(FCT),分别减少了61%、52%、40%和24%。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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