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Pre-caching: A proactive scheme for caching video traffic in named data mesh networks

机译:预缓存:一种在命名数据网格网络中缓存视频流量的主动方案

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摘要

Information-centric networking (ICN) is a future Internet architecture with the potential to solve myriad issues arising from traditional Internet architecture. By providing in-network caching of content, ICN provides for efficient delivery of content, such as streaming video, that occupies most of the bandwidth and resources of the Internet. Named data network (NDN) is a promising ICN architecture that supports video streaming (both live and on-demand) but does not fully exploit the full potential of in-network caching. In this paper, we propose a mechanism for pre-caching, based on the popularity, chunks of large content objects, such as videos, once they are requested by a consumer. We provide for collaboration in caching between neighboring content routers (CRs) in mesh networks, keeping the cache capacity constraints of CRs in mind. We characterize pre-caching as an optimization problem in which the goal is to jointly minimize the number of hops from the caching node to the consumer and the number of replicas, while observing the cache capacity of each CR. We implement and empirically evaluate each of the schemes and find substantially better than the existing NDN-based schemes.
机译:以信息为中心的网络(ICN)是一种未来的Internet体系结构,具有解决传统Internet体系结构产生的众多问题的潜力。通过提供内容的网络内缓存,ICN提供了内容的有效传递,例如流媒体视频,它占用了Internet的大部分带宽和资源。命名数据网络(NDN)是一种有前途的ICN体系结构,它支持视频流(实时和点播),但不能完全利用网络内缓存的全部潜力。在本文中,我们提出了一种基于流行度的大容量对象对象(例如视频)一旦被消费者请求就进行预缓存的机制。我们在网状网络中相邻内容路由器(CR)之间的缓存中提供协作,同时牢记CR的缓存容量约束。我们将预缓存定性为一个优化问题,其目的是在观察每个CR的缓存容量的同时,使从缓存节点到使用者的跃点数和副本数最小化。我们实施并凭经验评估每种方案,并发现它们比现有的基于NDN的方案要好得多。

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