体育视频直播快速分发的云边缘合作机制

IF 0.9 Q4 TELECOMMUNICATIONS
Jie Feng
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引用次数: 0

摘要

视频直播的激增导致了跨域边缘云网络视频内容的爆炸式增长。这在密集的赛事报道中尤为明显,在这些网络中,Sports Live对实时传递和用户体验施加了巨大的处理压力。为了应对这些挑战,本文介绍了一种利用云计算和边缘计算之间的协同作用的体育内容快速视频分发系统。通过部署边缘设备来分发体育视频内容,系统熟练地管理边缘网络中用户请求和行为的稀疏性和随机性。专注于较小用户组的特征可以更准确地表示更广泛的受众,以更低的运营成本优化性能。云和边缘计算设备都配备了缓存体育视频内容的存储功能,从而实现了双重缓存策略。这种方法提供了两个主要好处:它节省了核心网络带宽,并最大限度地减少了用户访问内容的延迟。鉴于对低延迟、高带宽的多媒体体育视频内容(如实时互动体育广播和超高清体育视频)的需求不断增长,所提出的云边缘协同缓存机制有效地满足了这些严格的要求。该系统确保了无缝和高效的交付,提高了动态体育流媒体环境中的用户满意度和运营效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud-Edge Cooperation Mechanism for Fast Live Sports Video Distribution

The proliferation of live video has led to an explosion of video content across cross-domain edge–cloud networks. This is particularly evident during intensive event coverage, where Sports Live imposes significant processing pressures on real-time delivery and user experience within these networks. To address these challenges, this paper introduces a fast video distribution system for sports content that leverages the synergy between cloud computing and edge computing. By deploying edge devices to distribute sports video content, the system adeptly manages the sparsity and randomness of user requests and behaviors in edge networks. Focusing on the characteristics of smaller user groups allows for a more accurate representation of the broader audience, optimizing performance at a lower operational cost. Both cloud and edge computing devices are equipped with storage capabilities to cache sports video content, thereby implementing a dual caching strategy. This approach offers two primary benefits: it conserves core network bandwidth and minimizes latency for users accessing content. Given the escalating demands for low-latency and high-bandwidth multimedia sports video content—such as real-time interactive sports broadcasts and UHD sports videos—the proposed cloud–edge collaborative caching mechanism effectively meets these stringent requirements. The system ensures seamless and efficient delivery, enhancing both user satisfaction and operational efficiency in dynamic sports streaming environments.

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CiteScore
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