Aug 2026· Asia-Pacific Workshop on Networking· pp. 187-193· 0 citations· 24 references
Computer Science
TL;DR
Results show that congestion quarantine can eliminate head-of-line blocking in scenarios with multiple congestion trees, and reduces the average and 99th percentile FCT slowdown of normal flows by 25–86% and 33–90%, respectively, with negligible impact on bursty traffic.
Abstract
Lossless Ethernet uses hop-by-hop backpressure to prevent buffer overflow and has become the mainstream choice for running Remote Direct Memory Access (RDMA) in AI and cloud data centers. Despite preventing congestion-induced drops, lossless networks introduce congestion contagion, which causes head-of-line blocking, congestion spreading, and deadlocks. Congestion control schemes have been introduced to mitigate the drawbacks of lossless Ethernet. However, congestion control mechanisms struggle with bursty traffic, face a dilemma, and can be sidelined by backpressure. In this paper, we propose congestion quarantine (CQ) as a complementary congestion management mechanism for lossless Ethernet. CQ uses a separate queue to quarantine congested flows, preventing congestion contagion, resolving the CC dilemma, and preventing CC from being sidelined. Results show that congestion quarantine can eliminate head-of-line blocking in scenarios with multiple congestion trees. Large-scale simulations demonstrate that CQ reduces the average and 99th percentile FCT slowdown of normal flows by 25–86% and 33.4–90%, respectively, with negligible impact on bursty traffic.
Driven by the requirements of machine learning, cloud storage, and other network-intensive applications, remote direct memory access (RDMA) has been widely adopted in high-speed networks and is gradually being applied to geographically distributed datacenters. However, in cross-datacenter scenarios, long control loop l...
Wenqiang Deng, Jun-Yan Chen, Xue-Feng Huang et al.· Journal of King Saud Univers...· 0 citations
InfiniFlow is presented, a credit-based hop-by-hop flow control method that supports massive VCs with a limited buffer budget via per-port buffer sharing, and introduces a paradigm shift in buffer management: Upstream Allocates Buffer for Downstream (UABD).
Ze-Rui Tian, Sen Liu, Minkun Xue et al.· Conference on Applications,...· 0 citations
In data centers, large-scale many-to-one traffic can rapidly exhaust switch buffers and trigger priority-based flow control (PFC) pause, resulting in increased flow completion time (FCT) for uncongested flows. To address this issue, we propose an innovative switch-side fast and accurate flow control (FAFC) scheme. By d...
Cheng-Di Lu, Yuang Chen, Fangyu Zhang et al.· IEEE Transactions on Network...· 0 citations
Odin is proposed to enhance CC under A2A traffic, which achieves low TBO and high throughput under A2A traffic, accelerating the training process and keeping strong performance under non-A2A traffic.
Wan-Chun Jiang, Yujie Hu, Kai Wang et al.· Conference on Applications,...· 1 citation
By simulating two devices communicating using the TCP protocol, this method reveals that TCP Vegas outperforms the others in terms of reliability, throughput and latency.
Shing-Hei-Cha-Se Yiu· MATEC Web of Conferences· 0 citations
This work introduces CSIG, a protocol that delivers precise, multi-bit bottleneck congestion signals via a fixed-length Ethernet header, and proposes Fast Ramp-Up, a congestion control primitive that leverages these bottleneck signals to reduce median RPC latency by 20% and unclaimed bandwidth by 60% in production.
Abhiram Ravi, Nandita Dukkipati, Weiwu Pang et al.· Conference on Applications,...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.