Survey on Network Congestion Control Algorithms

被引：0

作者：

Jiang, Wan-Chun ^{[1
]}

Li, Hao-Yang ^{[1
]}

Chen, Han-Yu ^{[1
]}

Wang, Jie ^{[1
]}

Wang, Jian-Xin ^{[1
]}

Ruan, Chang ^{[2
]}

机构：

[1] School of Computer Science and Engineering, Central South University, Changsha

[2] School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha

来源：

Ruan Jian Xue Bao/Journal of Software | 2024年 / 35卷 / 08期

关键词：

congestion control; data center; delay; network environment; throughput;

D O I：

10.13328/j.cnki.jos.007045

中图分类号：

学科分类号：

摘要：

Network congestion control algorithms are the key factor indetermining network transport performance. In recent years, the spreading network, the growing network bandwidth, and the increasing user requirements for network performance have brought challenges to the design of congestion control algorithms. To adapt to different network environments, many novel design ideas of congestion control algorithms have been proposed recently, which have greatly improved the performance of networks and user experience. This study reviews innovative congestion control algorithm design ideas and classifies them into four major categories: reservation scheduling, direct measurement, machine learning-based learning, and iterative detection. It introduces the corresponding representative congestion control algorithms, and further compares and analyzes the advantages and disadvantages of various congestion control ideas and methods. Finally, the study looks forward to future development direction on congestion control to inspire research in this field. © 2024 Chinese Academy of Sciences. All rights reserved.

引用

页码：3952 / 3979

页数：27

共 80 条

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