Real-Time Data Retrieval in Named Data Networking

Spyridon Mastorakis, Peter Gusev, A. Afanasyev, Lixia Zhang
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引用次数: 23

Abstract

The Named Data Networking (NDN) architecture names and secures data directly at the network layer, thus enabling in-network data caching, which in turn facilitates large scale data dissemination. Applications fetch the desired data by names, and the data can come from either the original data producers or router caches. This data retrieval design works seamlessly when the applications know the exact names of data, but poses challenges for realtime applications, such as video and audio conferencing, where new participants may not know the exact names of the latest data production when they join. In this paper we present Realtime Data Retrieval (RDR), a simple protocol that enables applications to discover the latest data. Through prototyping and simulation-based study, we show that RDR can effectively retrieve realtime data with minimal additional delays.
命名数据网络中的实时数据检索
NDN (Named Data Networking)架构直接在网络层对数据进行命名和保护,从而实现网络内数据缓存,从而促进数据的大规模传播。应用程序通过名称获取所需的数据,这些数据可以来自原始数据生产者,也可以来自路由器缓存。当应用程序知道数据的确切名称时,这种数据检索设计可以无缝地工作,但对实时应用程序(例如视频和音频会议)提出了挑战,其中新参与者在加入时可能不知道最新数据生产的确切名称。在本文中,我们提出实时数据检索(RDR),一个简单的协议,使应用程序能够发现最新的数据。通过原型和基于仿真的研究,我们表明RDR可以在最小的额外延迟下有效地检索实时数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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