USENIX ATC2025顶会
FLB: Fine-grained Load Balancing for Lossless Datacenter Networks
Jinbin Hu, Wenxue Li, Xiangzhou Liu, Junfeng Wang, Bowen Liu, Ping Yin, Jianxin Wang, Jiawei Huang, Kai Chen
摘要
Remote Direct Memory Access (RDMA) over Converged Ethernet (RoCE) cooperating with Priority Flow Control (PFC) has been widely deployed in production datacenters to enable low latency, lossless transmission. At the same time, modern datacenters typically offer parallel transmission paths between any pair of end-hosts, underscoring the importance of load balancing. However, the well-studied load balancing mechanisms designed for lossy datacenter networks (DCNs) are ill-suited for such lossless environments. Through extensive experiments, we are among the first to comprehensively inspect the interactions between PFC and load balancing, and uncover that existing fine-grained rerouting schemes can be counterproductive to spread the congested flows among more paths, further aggravating PFC's head-of-line (HoL) blocking. Motivated by this, we present FLB, a Fine-grained Load Balancing scheme for lossless DCNs. At its core, FLB employs threshold-free rerouting to effectively balance traffic load and improve link utilization during normal conditions and leverages timely congested flow isolation to eliminate HoL blocking on non-congested flows when congestion occurs. We have fully implemented a FLB prototype, and our evaluation results show that FLB reduces PFC PAUSE rate by up to 96% and avoids HoL blocking, translating to up to 45% improvement in goodput over CONGA+DCQCN and 40%, 36%, 29% and 18% reduction in average flow completion time (FCT) over LetFlow+Swift, MP-RDMA, Proteus+DCQCN and LetFlow+PCN, respectively.
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- 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
- Characterization of Large Language Model Development in the DatacenterQinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang 等NSDI 2024 · 被引用 192 次
- RDMA over Ethernet for Distributed Training at Meta ScaleAdithya Gangidi, Rui Miao, Shengbao Zheng, Sai Jayesh Bondu 等SIGCOMM 2024 · 被引用 171 次
- SRNIC: A Scalable Architecture for RDMA NICsZilong Wang, Layong Luo, Qingsong Ning, Chaoliang Zeng 等NSDI 2023 · 被引用 154 次
- Aeolus: A Building Block for Proactive Transport in DatacentersShuihai Hu, Wei Bai, Gaoxiong Zeng, Zilong Wang 等SIGCOMM 2020 · 被引用 138 次
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