摘 要
随着信息技术的迅猛发展，大数据传输成为计算机网络领域面临的重要挑战。为解决海量数据高效传输问题，本研究聚焦于优化技术在大数据传输中的应用，旨在提高传输效率、降低延迟并确保数据完整性。通过对现有传输协议的分析，结合新型编码技术与智能路由算法，提出了一种基于自适应带宽分配和动态路径选择的优化方案。该方案利用机器学习算法预测网络流量模式，实现资源的最优配置。实验结果表明，在不同网络环境下，新方案相比传统方法可将传输效率提升30%以上，平均延迟降低25%，丢包率减少40%。此外，通过引入冗余校验机制，有效解决了数据传输过程中的安全性和可靠性问题。
关键词：大数据传输 自适应带宽分配 智能路由算法
Abstract
With the rapid development of information technology, big data transmission has become an important challenge in the field of computer network. In order to solve the problem of efficient transmission of massive data, this research focuses on the application of optimization technology in big data transmission, aiming to improve transmission efficiency, reduce latency and ensure data integrity. By analyzing existing transmission protocols, combining novel coding techniques and intelligent routing algorithms, we propose an optimization scheme based on adaptive bandwidth allocation and dynamic path selection. This scheme uses the machine learning algorithm to predict the network traffic mode and realize the optimal allocation of resources. The experimental results show that in different network environments, the new scheme can improve the transmission efficiency by more than 30%, reduce the average delay by 25%, and reduce the packet loss rate by 40% compared with the traditional method. In addition, introducing the redundancy check mechanism effectively solves the security and reliability problems of data transmission.
Keyword:Big Data Transmission Adaptive Bandwidth Allocation Intelligent Routing Algorithm
目 录
1绪论 1
1.1大数据传输的研究背景与意义 1
1.2国内外研究现状综述 1
1.3本文研究方法概述 1
2大数据传输的网络需求分析 2
2.1数据传输规模与特征 2
2.2网络带宽需求评估 3
2.3传输延迟与时效性要求 3
3关键优化技术原理及应用 4
3.1压缩编码技术的应用 4
3.2流量调度与负载均衡 4
3.3数据冗余与容错机制 5
4实际应用场景中的优化策略 6
4.1云计算环境下的传输优化 6
4.2物联网场景中的应用实践 6
4.3大数据分析平台的传输方案 7
结论 7
参考文献 9
致谢 10
随着信息技术的迅猛发展，大数据传输成为计算机网络领域面临的重要挑战。为解决海量数据高效传输问题，本研究聚焦于优化技术在大数据传输中的应用，旨在提高传输效率、降低延迟并确保数据完整性。通过对现有传输协议的分析，结合新型编码技术与智能路由算法，提出了一种基于自适应带宽分配和动态路径选择的优化方案。该方案利用机器学习算法预测网络流量模式，实现资源的最优配置。实验结果表明，在不同网络环境下，新方案相比传统方法可将传输效率提升30%以上，平均延迟降低25%，丢包率减少40%。此外，通过引入冗余校验机制，有效解决了数据传输过程中的安全性和可靠性问题。
关键词：大数据传输 自适应带宽分配 智能路由算法
Abstract
With the rapid development of information technology, big data transmission has become an important challenge in the field of computer network. In order to solve the problem of efficient transmission of massive data, this research focuses on the application of optimization technology in big data transmission, aiming to improve transmission efficiency, reduce latency and ensure data integrity. By analyzing existing transmission protocols, combining novel coding techniques and intelligent routing algorithms, we propose an optimization scheme based on adaptive bandwidth allocation and dynamic path selection. This scheme uses the machine learning algorithm to predict the network traffic mode and realize the optimal allocation of resources. The experimental results show that in different network environments, the new scheme can improve the transmission efficiency by more than 30%, reduce the average delay by 25%, and reduce the packet loss rate by 40% compared with the traditional method. In addition, introducing the redundancy check mechanism effectively solves the security and reliability problems of data transmission.
Keyword:Big Data Transmission Adaptive Bandwidth Allocation Intelligent Routing Algorithm
目 录
1绪论 1
1.1大数据传输的研究背景与意义 1
1.2国内外研究现状综述 1
1.3本文研究方法概述 1
2大数据传输的网络需求分析 2
2.1数据传输规模与特征 2
2.2网络带宽需求评估 3
2.3传输延迟与时效性要求 3
3关键优化技术原理及应用 4
3.1压缩编码技术的应用 4
3.2流量调度与负载均衡 4
3.3数据冗余与容错机制 5
4实际应用场景中的优化策略 6
4.1云计算环境下的传输优化 6
4.2物联网场景中的应用实践 6
4.3大数据分析平台的传输方案 7
结论 7
参考文献 9
致谢 10
