Aug 2026· Journal of High Speed Networks· 0 citations· 16 references
TL;DR
Initial evaluations demonstrate that PFC-S can reduce the average flow completion time and effectively prevent congestion spreading, and experimental results show that PFC-S provides better protection for victim flows compared to standard PFC, BFC, and HPCC methods.
Abstract
Lossless fabrics are widely used in many production data centers, but they can give rise to issues such as head-of-line blocking and congestion spreading during network congestion, which can significantly degrade the performance of data center applications. Additionally, the latency of end-to-end solutions can lead to the buildup of switch queues. To address these challenges, this paper proposes a method called Priority Flow Control-Sensitive (PFC-S). PFC-S monitors buffer occupancy and traffic intensity, performs proactive rerouting, and prevents the impact of PFC congestion diffusion on victim flows. This approach helps maintain low buffer usage levels, thereby enabling control over tail latency. Initial evaluations demonstrate that PFC-S can reduce the average flow completion time and effectively prevent congestion spreading. Moreover, experimental results show that PFC-S provides better protection for victim flows compared to standard PFC, BFC, and HPCC methods.
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
ProLet is a load balancing scheme that enables proactive probing and reroutes elephant flows at flowlet granularity in lossless RDMA networks and reduces average and tail flow completion time slowdowns by 69% and 79%, respectively, compared to state-of-the-art load balancing schemes.
Hong Wang, Jin-Hao Luo, J. Tan et al.· Asia-Pacific Workshop on Net...· 0 citations
This work argues that applications should participate in congestion control decisions and introduces the starvation ratio (SR), a metric that detects when applications are truly limited by the network.
Anderson Henrique da Silva Marcondes, Enzo B. Boscatto, Guilherme Piêgas Koslovski· Anais do LIII Seminário Inte...· 0 citations
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
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.
Dongkang Hu, Ran Shu, Wenxue Cheng et al.· Asia-Pacific Workshop on Net...· 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
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