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Congestion Control Mechanism Based on Backpressure Feedback in Data Center Networks

Authors :
Wei Li
Mengzhen Ren
Yazhi Liu
Chenyu Li
Hui Qian
Zhenyou Zhang
Source :
Future Internet, Vol 16, Iss 4, p 131 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

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.

Details

Language :
English
ISSN :
19995903
Volume :
16
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Future Internet
Publication Type :
Academic Journal
Accession number :
edsdoj.9bbb5b3d77de41eaa76eb18b1ef88ce9
Document Type :
article
Full Text :
https://doi.org/10.3390/fi16040131