数据中心网络中基于反压反馈的拥塞控制机制

IF 2.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Future Internet Pub Date : 2024-04-15 DOI:10.3390/fi16040131

Wei Li, Mengzhen Ren, Yazhi Liu, Chenyu Li, Hui Qian, Zhenyou Zhang

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引用次数: 0

摘要

为了解决数据中心流量急剧增长所带来的拥塞问题，人们提出了许多端到端拥塞控制措施，以应对一个往返时间（RTT）内的拥塞。在本文中，我们提出了一种基于反压反馈（BFCC）的新拥塞控制机制，其设计的主要目标是交换机到交换机拥塞控制，以解决单跳 RTT 内的拥塞问题。这种方法利用可编程数据平面持续实时监控网络拥塞情况，并识别真正的拥塞流量。此外，它还通过反压反馈进行有针对性的流量控制。我们在 BMV2 上验证了这一机制的可行性，BMV2 是基于独立于协议的数据包处理器（P4）编程的可编程虚拟交换机。仿真结果表明，与其他端到端拥塞控制机制相比，BFCC 大大提高了流量完成时间（FCT）。它的平均完成时间比其他机制快 1.2-2 倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Congestion Control Mechanism Based on Backpressure Feedback in Data Center Networks

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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来源期刊

Future Internet Computer Science-Computer Networks and Communications

CiteScore

7.10

自引率

5.90%

发文量

303

审稿时长

11 weeks

期刊介绍： Future Internet is a scholarly open access journal which provides an advanced forum for science and research concerned with evolution of Internet technologies and related smart systems for “Net-Living” development. The general reference subject is therefore the evolution towards the future internet ecosystem, which is feeding a continuous, intensive, artificial transformation of the lived environment, for a widespread and significant improvement of well-being in all spheres of human life (private, public, professional). Included topics are: • advanced communications network infrastructures • evolution of internet basic services • internet of things • netted peripheral sensors • industrial internet • centralized and distributed data centers • embedded computing • cloud computing • software defined network functions and network virtualization • cloud-let and fog-computing • big data, open data and analytical tools • cyber-physical systems • network and distributed operating systems • web services • semantic structures and related software tools • artificial and augmented intelligence • augmented reality • system interoperability and flexible service composition • smart mission-critical system architectures • smart terminals and applications • pro-sumer tools for application design and development • cyber security compliance • privacy compliance • reliability compliance • dependability compliance • accountability compliance • trust compliance • technical quality of basic services.