Multimedia streaming analytics: quo vadis?

Cise Midoglu, M. Avelino, Shri Hari Gopalakrishnan, S. Pham, P. Halvorsen
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引用次数: 0

Abstract

In today's complex OTT multimedia streaming ecosystem, the task of ensuring the best streaming experience to end-users requires extensive monitoring, and such monitoring information is relevant to various stakeholders including content providers, CDN providers, network operators, device vendors, developers, and researchers. Streaming analytics solutions address this need by aggregating performance information across streaming sessions, to be presented in ways that help improve the end-to-end delivery. In this paper, we provide an analysis of the state of the art in commercial streaming analytics solutions. We consider five products as representatives, and identify potential improvements with respect to terminology, QoE representation, standardization and interoperability, and collaboration with academia and the developer community.
多媒体流分析:现状?
在当今复杂的OTT多媒体流媒体生态系统中,确保最终用户获得最佳流媒体体验的任务需要广泛的监控,而这些监控信息与各种利益相关者相关,包括内容提供商、CDN提供商、网络运营商、设备供应商、开发人员和研究人员。流分析解决方案通过聚合跨流会话的性能信息来解决这一需求,并以有助于改进端到端交付的方式呈现。在本文中,我们对商业流分析解决方案的最新状况进行了分析。我们将五个产品作为代表,并确定在术语、QoE表示、标准化和互操作性以及与学术界和开发人员社区的协作方面的潜在改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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