基于数据报的内容中心网络高效多播
Efficient Multicasting in Content-Centric Networks Using Datagrams
摘要：
命名数据网络（NDN）和以内容为中心的网络（CCNx）架构是以内容为中心的网络的主要方法，并且两者都需要使用兴趣（引发内容的请求）并在待决兴趣表（PIT）中维护每个兴趣的转发状态以存储每个兴趣的转发状态。迄今为止，已经假设PIT对于实现对数据平面中的多播的本地支持是必要的，使得通过使用PIT的兴趣的转发和聚合来建立多播转发树（MFT）。我们提出了一种新的方法，以内容为中心的网络的基础上，匿名数据报，提供本地支持多播，但这样做，而不需要维护每兴趣转发状态。仿真实验表明，所提出的新方法实现了相同的端到端的多播延迟，而需要的数量级更少的转发条目。
英文摘要：
The Named Data Networking (NDN) and Content-Centric Networking (CCNx) architectures are the leading approaches for content-centric networking, and both require using Interests (requests that elicit content) and maintaining per-Interest forwarding state in Pending Interest Tables (PIT) to store per-Interest forwarding state. To date, PITs have been assumed to be necessary to enable native support for multicasting in the data plane, such that multicast forwarding trees (MFT) are established by the forwarding and aggregation of Interests using PITs. We present a new approach to content-centric networks based on anonymous datagrams that provides native support for multicasting, but does so without the need to maintain per-Interest forwarding state. Simulation experiments are used to show that the proposed new approach attains the same end-to-end delays for multicasting while requiring orders of magnitude fewer forwarding entries.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
