摘要
随着互联网的快速发展,网络流量增长导致的网络拥塞问题日益严重。为了解决这一问题,研究者提出了各种流量调度算法。其中,改进的最坏情况下公平的加权公平队列(Worst-case Fair Weighted Fair Queueing plus,WF^(2)Q+)算法结合了加权公平队列(Weighted Fair Queueing,WFQ)算法和差额循环调度(Deficit Round Robin,DRR)算法的优点,能够实现公平的带宽分配和低延迟的服务质量。然而,由于网络环境的动态性,传统的WF^(2)Q+算法无法适应网络流量的变化。因此,提出了一种基于动态感知策略的改进WF^(2)Q+算法,以提高网络性能、用户体验及网络流量的管理水平。
With the rapid development of the Internet,the growth of network traffic has led to increasingly serious network congestion problems.To address this issue,researchers have proposed various traffic scheduling algorithms.Among them,the Worst-case Fair Weighted Fair Queueing plus(WF^(2)Q+)algorithm combines the advantages of the Weighted Fair Queuing(WFQ)and Deficit Round Robin(DRR)algorithms to achieve fair bandwidth allocation and low latency quality of service.However,due to the dynamic nature of the network environment,traditional WF^(2)Q+algorithms cannot adapt to changes in network traffic.Therefore,this article proposes an improved WF^(2)Q+algorithm based on dynamic perception strategy to improve network performance,user experience,and management level of network traffic.
作者
黄敏
刘志方
HUANG Min;LIU Zhifang(School of Information Engineering,Guangzhou Nanyang Vocational College of Technology,Guangzhou Guangdong 510925,China)
出处
《信息与电脑》
2023年第17期74-76,共3页
Information & Computer
基金
2022年度广州南洋理工职业学院校级科研项目“基于MQTT边缘智能计算的动态感知调度策略研究”(项目编号:NY-2022KYYB-02)
2020年度广东省教育厅特色创新项目“基于SoS体系的多维度信息安全风险评估研究与实践”(项目编号:2020KTSCX377)。
