FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks

Lim, Hwijoon; Kim, Jaehong; Cho, Inho; Jang, Keon; Han, Dongsu

doi:10.1145/3552326.3587453

Proceedings of the Eighteenth European Conference on Computer Systems 2023

DOI: 10.1145/3552326.3587453

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FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks

Hwijoon Lim

Jaehong Kim

Inho Cho³

et al.

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2024

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Congestion Control Mechanism Based on Backpressure Feedback in Data Center Networks

Li,

Ren,

Liu

et al. 2024

Future Internet

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In order to solve the congestion problem caused by the dramatic growth of traffic in data centers, many end-to-end congestion controls have been proposed to respond to congestion in one round-trip time (RTT). In this paper, we propose a new congestion control mechanism based on backpressure feedback (BFCC), which is designed with the primary goal of switch-to-switch congestion control to resolve congestion in a one-hop RTT. This approach utilizes a programmable data plane to continuously monitor network congestion in real time and identify real-congested flows. In addition, it employs targeted flow control through backpressure feedback. We validate the feasibility of this mechanism on BMV2, a programmable virtual switch based on programming protocol-independent packet processors (P4). Simulation results demonstrate that BFCC greatly enhances flow completion times (FCTs) compared to other end-to-end congestion control mechanisms. It achieves 1.2–2× faster average completion times than other mechanisms.

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Congestion Control Mechanism Based on Backpressure Feedback in Data Center Networks

Li,

Ren,

Liu

et al. 2024

Future Internet

View full text Add to dashboard Cite

show abstract

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FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks

Cited by 1 publication

References 35 publications

Congestion Control Mechanism Based on Backpressure Feedback in Data Center Networks

Congestion Control Mechanism Based on Backpressure Feedback in Data Center Networks

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