Poche: A Priority-Based Flow-Aware In-Network Caching Scheme in Data Center Networks

Shen, Gengbiao; Li, Qing; Shi, Wenjia; Han, Feixue; Jiang, Yong; Gu, Liang

doi:10.1109/tnsm.2022.3165014

Cited by 7 publications

(1 citation statement)

References 35 publications

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“…Furthermore, there are real-time interactive applications that are latencysensitive, such as Web Search and query services, which generate a large number of short burst flows. To improve each application's performance and quality of service, the completion time of these short burst flows [2] should be minimized.…”

Section: Introductionmentioning

confidence: 99%

Congestion Control Using In-Network Telemetry for Lossless Datacenters

Wang¹,

Yuan²,

Luo³

et al. 2023

Computers, Materials &Amp; Continua

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In the Ethernet lossless Data Center Networks (DCNs) deployed with Priority-based Flow Control (PFC), the head-of-line blocking problem is still difficult to prevent due to PFC triggering under burst traffic scenarios even with the existing congestion control solutions. To address the head-of-line blocking problem of PFC, we propose a new congestion control mechanism. The key point of Congestion Control Using In-Network Telemetry for Lossless Datacenters (ICC) is to use In-Network Telemetry (INT) technology to obtain comprehensive congestion information, which is then fed back to the sender to adjust the sending rate timely and accurately. It is possible to control congestion in time, converge to the target rate quickly, and maintain a near-zero queue length at the switch when using ICC. We conducted Network Simulator-3 (NS-3) simulation experiments to test the ICC's performance. When compared to Congestion Control for Large-Scale RDMA Deployments (DCQCN), TIMELY: RTT-based Congestion Control for the Datacenter (TIMELY), and Re-architecting Congestion Management in Lossless Ethernet (PCN), ICC effectively reduces PFC pause messages and Flow Completion Time (FCT) by 47%, 56%, 34%, and 15.3×, 14.8×, and 11.2×, respectively.

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Section: Introductionmentioning

confidence: 99%