The surge in popularity of short-form video content, particularly through platforms like TikTok and Instagram, has led to an exponential increase in data traffic, presenting significant challenges in network resource management. Traditional unicast streaming methods, while straightforward, are inefficient in scenarios where videos need to be delivered to a large number of users simultaneously. Multicast streaming, which sends a single stream to multiple users, can drastically reduce the required bandwidth, yet it introduces complexities in resource allocation, especially in wireless environments where bandwidth is limited and user demands are heterogeneous. This paper introduces a novel multicast resource management framework tailored for the efficient distribution of short-form video content. The proposed framework dynamically optimizes resource allocation to enhance Quality of Service (QoS) and Quality of Experience (QoE) for multiple users, balancing the trade-offs between cost, efficiency, and user satisfaction. We implement a series of optimization algorithms that account for diverse network conditions and user requirements, ensuring optimal service delivery across varying network topologies. Experimental results demonstrate that our framework can effectively reduce bandwidth usage and decrease video startup delay compared to traditional multicast approaches, significantly improving overall user satisfaction. This study not only advances the understanding of multicast streaming dynamics but also provides practical insights into scalable and efficient video distribution strategies in congested network environments.

翻译：随着短视频内容（尤其是通过TikTok和Instagram等平台）的普及度激增，数据流量呈指数级增长，给网络资源管理带来了重大挑战。传统的单播流媒体方法虽然直接，但在需要同时向大量用户传输视频的场景中效率低下。多播流媒体通过向多个用户发送单一数据流，能够大幅降低所需带宽，但这也给资源分配带来了复杂性，尤其是在带宽有限且用户需求异构的无线环境中。本文提出了一种专为高效分发短视频内容设计的新型多播资源管理框架。该框架通过动态优化资源分配来提升多用户的服务质量与体验质量，在成本、效率和用户满意度之间实现平衡。我们实现了一系列考虑多样化网络条件和用户需求的优化算法，确保在不同网络拓扑中实现最优服务交付。实验结果表明，与传统多播方法相比，我们的框架能有效降低带宽使用量并减少视频启动延迟，显著提升了整体用户满意度。本研究不仅深化了对多播流媒体动态特性的理解，还为拥塞网络环境中可扩展且高效的视频分发策略提供了实践启示。