摘 要
随着互联网规模的不断扩大和应用类型的日益多样化，计算机网络面临着愈发严峻的拥塞问题，这不仅影响网络性能还制约着服务质量。为此，本研究聚焦于计算机网络拥塞控制与流量调度算法，旨在探索有效的机制以缓解拥塞、优化资源分配并提升网络整体性能。基于对传统拥塞控制理论及现有流量调度算法深入剖析的基础上，提出了一种融合多因素考量的新型拥塞控制策略，该策略综合了节点状态、链路特性以及业务需求等要素，并引入智能预测模型预判潜在拥塞点，从而实现提前规避。同时设计了自适应流量调度算法，通过动态调整数据流路径来均衡负载分布。实验结果表明，所提出的方案能够显著降低丢包率、缩短传输时延且提高带宽利用率，在复杂网络环境下展现出良好的稳定性和鲁棒性。此研究为解决当前计算机网络拥塞难题提供了新的思路与方法，对于改善网络服务质量具有重要价值。
关键词：计算机网络拥塞控制 流量调度算法 智能预测模型
Abstract
With the continuous expansion of the Internet scale and the increasing diversification of application types, computer networks are facing increasingly severe congestion issues, which not only affect network performance but also constrain service quality. This study focuses on congestion control and traffic scheduling algorithms in computer networks, aiming to explore effective mechanisms to alleviate congestion, optimize resource allocation, and enhance overall network performance. Based on an in-depth analysis of traditional congestion control theories and existing traffic scheduling algorithms, this research proposes a novel congestion control strategy that integrates multiple factors including node status, link characteristics, and service requirements. Additionally, it incorporates an intelligent prediction model to anticipate potential congestion points, thereby enabling preemptive avoidance. Concurrently, an adaptive traffic scheduling algorithm is designed to balance load distribution by dynamically adjusting data flow paths. Experimental results demonstrate that the proposed solution significantly reduces packet loss rate, shortens transmission delay, and improves bandwidth utilization, exhibiting excellent stability and robustness in complex network environments. This research provides new insights and methods for addressing current computer network congestion challenges, offering significant value for improving network service quality.
Keyword:Computer Network Congestion Contro Traffic Scheduling Algorithm Intelligent Prediction Model
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2拥塞控制机制分析 2
2.1拥塞控制基本原理 2
2.2传统拥塞控制算法评述 3
2.3新型拥塞控制算法探索 3
3流量调度算法研究 4
3.1流量调度基础理论 4
3.2基于优先级的流量调度 5
3.3基于带宽分配的流量调度 5
4算法优化与性能评估 6
4.1混合算法设计思路 6
4.2性能指标体系构建 7
4.3实验仿真与结果分析 7
结论 8
参考文献 9
致谢 10
