Is IPFS Ready for Decentralized Video Streaming?

Zhengyu Wu, ChengHao Ryan Yang, Santiago Vargas, A. Balasubramanian
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Abstract

InterPlanetary File System (IPFS) is a peer-to-peer protocol for decentralized content storage and retrieval. The IPFS platform has the potential to help users evade censorship and avoid a central point of failure. IPFS is seeing increasing adoption for distributing various kinds of files, including video. However, the performance of video streaming on IPFS has not been well-studied. We conduct a measurement study with over 28,000 videos hosted on the IPFS network and find that video streaming experiences high stall rates due to relatively high Round Trip Times (RTT). Further, videos are encoded using a single static quality, because of which streaming cannot adapt to different network conditions. A natural approach is to use adaptive bitrate (ABR) algorithms for streaming, which encode videos in multiple qualities and streams according to the throughput available. However, traditional ABR algorithms perform poorly on IPFS because the throughput cannot be estimated correctly. The main problem is that video segments can be retrieved from multiple sources, making it difficult to estimate the throughput. To overcome this issue, we have designed Telescope, an IPFS-aware ABR system. We conduct experiments on the IPFS network, where IPFS video providers are geographically distributed across the globe. Our results show that Telescope significantly improves the Quality of Experience (QoE) of videos, for a diverse set of network and cache conditions, compared to traditional ABR.
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IPFS为去中心化视频流做好准备了吗?
星际文件系统(IPFS)是用于分散内容存储和检索的点对点协议。IPFS平台有可能帮助用户逃避审查并避免中心故障点。IPFS被越来越多地用于分发各种文件,包括视频。然而,视频流在IPFS上的性能还没有得到很好的研究。我们对IPFS网络上托管的28,000多个视频进行了测量研究,发现由于相对较高的往返时间(RTT),视频流的失速率很高。此外,视频使用单一的静态质量进行编码,因此流媒体无法适应不同的网络条件。一种自然的方法是使用自适应比特率(ABR)算法进行流媒体,该算法根据可用的吞吐量将视频编码为多种质量和流。然而,传统的ABR算法在IPFS上表现不佳,因为不能正确估计吞吐量。主要问题是视频片段可以从多个来源检索,这使得很难估计吞吐量。为了解决这个问题,我们设计了望远镜,一个ipfs感知的ABR系统。我们在IPFS网络上进行实验,IPFS视频提供商分布在全球各地。我们的研究结果表明,与传统的ABR相比,在不同的网络和缓存条件下,Telescope显著提高了视频的体验质量(QoE)。
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