ICN中兴趣流量生成及转发策略影响的性能评价

Anwar Kalghoum, S. Gammar, L. Saïdane
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引用次数: 3

摘要

提出了完全以内容为中心的信息中心网络(Information Centric Networking, ICN)方法来重构互联网通信模型。它引入了命名、转发和缓存等新概念。ICN范例由几个研究项目探索,以呈现一种新的互联网通信架构。在这项工作中,我们专注于NDN(命名数据网络)项目,以分析兴趣流量生成和转发策略对三种不同缓存替换机制的影响:LFU, LRU和FIFO。在本文中,我们评估了这三种机制对命中率的影响。实验结果表明,兴趣流量的产生对网络性能有积极的影响。然而,转发策略的选择对网络性能有积极的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance evaluation of interest traffic generation and forwarding strategy impact in ICN
The ICN (Information Centric Networking) approach, totally centered on the content, was proposed to reconstruct the model of Internet communication. It introduces new concepts such as naming, forwarding and caching. The ICN paradigm is explored by several research projects to present a new Internet communication architecture. In this work, we focus on NDN (Named Data Networking) project in order to analyze the impact of Interest traffic generation and Forwarding Strategies for three different Cache Replacement Mechanisms: LFU, LRU, and FIFO. In this paper, we evaluate the effects of these three mechanisms on hit ratios. Our experimental results show that the interest traffic generation has a positive effect on network performance. However, the choice of forwarding strategy has a positive influence on the network performance.
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