摘要
随着信息技术的迅猛发展，数字媒体内容分发的需求日益增长，传统分发方式已难以满足高效、灵活和大规模传播的要求。为此，本研究提出了一种基于云计算的数字媒体内容分发系统，旨在通过云技术优化内容传输效率并提升用户体验。研究结合云计算的弹性扩展与分布式存储特性，设计了包含内容缓存策略、负载均衡机制及动态带宽分配的综合架构，以解决高并发访问下的性能瓶颈问题。具体方法上，采用机器学习算法预测用户需求，从而实现智能内容预取与分发路径优化，并引入边缘计算节点降低延迟。实验结果表明，该系统在传输速度、资源利用率及成本控制方面均表现出显著优势，相较于传统方案，平均响应时间减少约40%，带宽使用效率提升35%以上。此外，系统的可扩展性与稳定性也得到了充分验证。本研究的主要创新点在于将云计算与边缘计算深度融合，构建了适应性强且高效的分发体系，为未来数字媒体行业的技术升级提供了重要参考。
关键词：云计算；数字媒体分发；边缘计算；内容缓存策略；负载均衡机制
Abstract
With the rapid development of information technology, the demand for digital media content distribution has been growing steadily, while traditional distribution methods are increasingly unable to meet the requirements of efficiency, flexibility, and large-scale dissemination. To address this challenge, this study proposes a cloud computing-based digital media content distribution system aimed at optimizing content transmission efficiency and enhancing user experience through cloud technologies. By leveraging the elastic scalability and distributed storage characteristics of cloud computing, a comprehensive architecture is designed, incorporating content caching strategies, load balancing mechanisms, and dynamic bandwidth allocation to resolve performance bottlenecks under high-concurrency access scenarios. Specifically, machine learning algorithms are employed to predict user demands, enabling intelligent content pre-fetching and optimized distribution path planning. Additionally, edge computing nodes are introduced to reduce latency. Experimental results demonstrate that the proposed system exhibits significant advantages in terms of transmission speed, resource utilization, and cost control. Compared with traditional solutions, the average response time is reduced by approximately 40%, and bandwidth usage efficiency is improved by over 35%. Moreover, the scalability and stability of the system have been thoroughly validated. The primary innovation of this research lies in the deep integration of cloud computing and edge computing, constructing a highly adaptable and efficient distribution fr amework that provides critical insights for future technological upgrades in the digital media industry.
Keywords：Cloud Computing; Digital Media Distribution; Edge Computing; Content Caching Strategy; Load Balancing Mechanism
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状分析 1
(三) 本文研究方法与技术路线 2
二、云计算环境下的内容分发需求分析 2
(一) 数字媒体内容分发的特点与挑战 2
(二) 云计算对内容分发的支持能力 3
(三) 用户需求与系统功能定位 3
三、基于云计算的内容分发关键技术研究 4
(一) 数据存储与管理技术 4
(二) 内容分发网络优化策略 4
(三) 安全性与隐私保护机制 5
四、系统设计与实现 6
(一) 系统架构设计 6
(二) 核心模块功能实现 6
(三) 性能测试与结果分析 7
结 论 8
参考文献 9
