ICE-T:RC: Optimizing Internet video through support from the network edge

尽管近年来取得了许多进步，但互联网视频的表现往往低于用户的预期。随着带宽密集的4K视频的出现，以及最近对延迟敏感的360度视频等交互式视频的出现，这个问题可能会加剧。该项目调查了最近互联网服务提供商（ISP）在提供商网络边缘部署增值服务的兴趣所带来的新机会。这种基于边缘的服务可以通过更低的延迟、更高的吞吐量和对网络性能瓶颈的可见性来帮助视频流应用程序。该项目将探索可能部署在ISP边缘的新服务，这些服务可以显着提高视频流解决方案的性能，并开发可以利用这些服务的视频流新方法。研究将系统地描述这些好处，开发新的机制，并考虑实际部署问题。具体的研究贡献将包括：1。根据在网络边缘实时收集的明确信息，主动估计视频应用传输速率的技术。该方法包括基于边缘的监测和估计，以确保可扩展性，并广泛使用网络数据来改进和验证我们的算法。重新设计最先进的可用比特率（ABR）方法，利用主动率估计。项目团队还将探索一个新的设计点，即ABR算法本身在边缘服务器而不是客户端上运行。基于测量的交互式视频流特征研究，以调查围绕交互式视频边缘支持的问题。具体来说，该项目将考虑用于360度视频的编码方案、用户交互模型和边缘缓存命中率之间的相互作用。该项目将扩展普渡大学和意大利都灵理工大学之间正在进行的研究合作。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Despite many advances in recent years, the performance of Internet video often falls below user expectations. The issues are likely to be exacerbated with the emergence of bandwidth-intensive 4K video, and more recently, interactive video such as 360-degree video which is latency sensitive as well. This project investigates new opportunities opened by recent Internet Service Provider (ISP) interest in deploying value-added services at the edge of the provider's network. Such edge-based services can aid video streaming applications through lower latencies, higher throughput, and visibility into network performancebottlenecks.This project will explore novel services that may be deployed at the ISP edge, which can significantly improve the performance of video streaming solutions, as well as develop new approaches to video streaming that can leverage these services. The research will systematically characterize these benefits, develop new mechanisms, and consider practical deployment concerns. Specific research contributions will include: 1. Techniques for proactively estimating the rate at which video applications can transmit informed by explicit information collected at the network edge in real-time. The approach includes edge-based monitoring and estimation to ensure scalability, and extensive use of network data to refine and validate our algorithms.2. Redesigning state-of-the-art available bit rate (ABR) approaches to exploit proactive rate estimation. The project team will also explore a new design point where the ABR algorithm itself is run on an edge server rather than the client.3. Measurement-based characterization studies of interactive video streaming to investigate issues around edge support for interactive video. Specifically, the project will consider the interplay between the encoding scheme used for 360-degree video, user interactivity models, and the edge cache hit rate. This project will extend an ongoing research collaboration between Purdue University and the Politecnico di Torino, Italy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.