NeTS: Small: Toward All Videos on Demand

视频点播（VoD）是一项很有吸引力的服务，它允许用户随时从大量目录中观看视频，已经在互联网上流行起来。现有的视频点播服务，无论是传统的设计还是P2P，都有一个局限性，那就是它们无法支持高质量的所有内容的高效流媒体访问，而不考虑需求：不仅是数百万人想看的大片，还有那些与热门内容相比需求相对较小的小众内容：电视节目的重播、非大片的发布、体育赛事的重播和演讲。点对点（P2P）方法是一种可扩展内容分发的有效解决方案，不会给集中式基础设施带来很大的负担。在基于p2p的视频点播系统中，用户可以从视频点播服务器和对等端接收流媒体视频。观看视频的对等体相互协作的能力减少了服务基础设施的负载。该项目扩展了成功的P2P视频点播系统的设计，以支持高效交付一个大型的，潜在的无限的高（电影）质量存储的视频点播库。不管视频的流行程度如何，任何连接到网络的客户端都可以播放高质量的视频，而不会在请求的几秒钟内中断。该研究利用了三个设计原则：利用ep2p技术，实现利他的跨内容缓存和服务，以及利用播放点加权缓存策略。结果包括描述理想缓存行为的模型，实现理想缓存行为的分布式算法，以及功能原型。

Video-on-demand (VoD) is an attractive service that hasalready gained popularity in the Internet byallowing users to view a video from a large catalog atany time. A limitation of existing VoD services, bothusing traditional design as well as P2P is their inability to supportefficient streamed access to ALL content at high quality,regardless of demand: not just blockbusters that millions want tosee, but also niche content that has relatively small demand incomparison to their highly popular counterparts: re-runs of TV shows,non-blockbuster releases, replays of sporting events, and speeches.The peer-to-peer (P2P) approach is an effectivesolution for scalable content distribution without imposing asignificant burden on a centralized infrastructure. In a P2P-basedVoD system, users receive streamed videos from VoD servers as well asfrom the peers. The ability of peers that are viewing the videos tocollaborate with each other reduces the load on servinginfrastructure.This project extends the design of successful P2P VoD systems toenable support for efficient delivery of a large, potentiallylimitless library of high (movie) quality stored VoD. Regardless ofa video's popularity, a high-quality version will be playable by anyclient attached to the network without interruption within seconds ofits request. The research utilizes three design principles: leverageP2P technologies, implement altruistic cross-content caching andserving, and utilize playback-point weighted caching strategies.Results include models that describe desirable caching behavior,distributed algorithms to implement the desired caching behavior, anda functional prototype.