网络编码支持的命名数据网络中非路径缓存内容的探索与利用

Xiaoyan Hu, Shaoqi Zheng, Lixia Zhao, Guang Cheng, J. Gong
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引用次数: 2

摘要

命名数据网络(NDN)本质上支持网络内缓存和多路径转发。这两个显著特性提供了同时传输包含来自原始内容发布者和网络内缓存的请求内容的内容段的可能性。然而,由于在细粒度数据包级别上维护离路缓存内容的可达性信息的复杂性,目前NDN中多路径转发和离路缓存副本的利用率明显不足。网络编码支持的NDN,称为NC-NDN,被提出有效地利用多个路径上路由来传输内容,但路径外缓存副本仍然未被利用。这项工作通过一种基于按需离路缓存探索的多路径转发策略(称为O2CEMF)增强了NC-NDN,以充分利用多路径转发来有效利用离路缓存内容。在O2CEMF中,当使用者开始请求生成内容时,每个网络节点都会主动探索附近离路径缓存内容的可达性信息,并在粗粒度的生成粒度级别上维护可达性。然后,消费者同时从原始内容发布者和探索的有能力的离路缓存中检索内容。我们的实验研究证实,与目前的NC-NDN相比,该策略有效地提高了内容交付性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration and Exploitation of Off-path Cached Content in Network Coding Enabled Named Data Networking
Named Data Networking (NDN) intrinsically supports in-network caching and multipath forwarding. The two salient features offer the potential to simultaneously transmit content segments that comprise the requested content from original content publishers and in-network caches. However, due to the complexity of maintaining the reachability information of off-path cached content at the fine-grained packet level of granularity, the multipath forwarding and off-path cached copies are significantly underutilized in NDN so far. Network coding enabled NDN, referred to as NC-NDN, was proposed to effectively utilize multiple on-path routes to transmit content, but off-path cached copies are still unexploited. This work enhances NC-NDN with an On-demand Off-path Cache Exploration based Multipath Forwarding strategy, dubbed as O2CEMF, to take full advantage of the multipath forwarding to efficiently utilize off-path cached content. In O2CEMF, each network node reactively explores the reachability information of nearby off-path cached content when consumers begin to request a generation of content, and maintains the reachability at the coarse-grained generation level of granularity instead. Then the consumers simultaneously retrieve content from the original content publisher(s) and the explored capable off-path caches. Our experimental studies validate that this strategy improves the content delivery performance efficiently as compared to that in the present NC-NDN.
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