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计算机系统应用英文版:2022,31(8):38-45
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差异化可靠传输拥塞控制算法
(1.中国科学院 计算机网络信息中心, 北京 100190;2.中国科学院大学, 北京 100049;3.华为技术有限公司, 北京 100085)
Differentiated Reliable Transmission Congestion Control Algorithm
(1.Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.Huawei Technologies Co. Ltd., Beijing 100085, China)
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Received:October 29, 2021    Revised:November 29, 2021
中文摘要: 随着网络通信技术和应用的快速发展, 应用程序提出越来越精细化、差异化的数据传输性能需求, 然而传统网络传输协议较低的灵活性导致其无法满足各类应用的差异化需求, 亟需研究差异化的可靠传输控制协议以适应未来场景. 本文提出一种差异化可靠传输协议, 并重点提出一种基于可靠度的差异化可靠传输拥塞控制机制, 为不同的可靠度差值设计不同的拥塞避免和拥塞恢复策略, 并通过带宽估计策略精准调节拥塞阈值. 经实验验证, 差异化可靠传输拥塞机制在传输效率方面相比基于丢包和基于时延的拥塞算法有较大提升, 同时实现了良好的公平性.
Abstract:With the rapid development of network communication technology and applications, more refined and differentiated data transmission requirements of applications are put forward. However, the low flexibility of traditional network transmission protocols makes it unable to meet the differentiated requirements of various applications, and thus there is an urgent need to study differentiated reliable transmission control protocols for future scenarios. This study proposes a differentiated reliable transmission protocol and focuses on a reliability-based differentiated reliable transmission congestion control mechanism. Different congestion avoidance and congestion recovery strategies are designed for different reliability differences, and the bandwidth estimation strategy is employed to accurately adjust the congestion threshold. Experiments verify that the differentiated reliable transmission congestion mechanism has greater improvement in transmission efficiency than the packet loss and delay-based congestion algorithms and at the same time can achieve good fairness.
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基金项目:华为合作项目(YBN2020065107); 北京市自然科学基金(4202082)
引用文本:
张运栋,任勇毛,殷明,杨望泓,周旭,徐安民,于德雷.差异化可靠传输拥塞控制算法.计算机系统应用,2022,31(8):38-45
ZHANG Yun-Dong,REN Yong-Mao,YIN Ming,YANG Wang-Hong,ZHOU Xu,XU An-Min,YU De-Lei.Differentiated Reliable Transmission Congestion Control Algorithm.COMPUTER SYSTEMS APPLICATIONS,2022,31(8):38-45