命名数据网络中的生态友好缓存和转发

Seng-Kyoun Jo, Lin Wang, J. Kangasharju, M. Mühlhäuser
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引用次数: 2

摘要

绿色网络通过提高网络的能源效率和帮助减少对环境的影响,正越来越受到可持续信息通信技术的青睐。在本文中,我们为命名数据网络(NDN)提出了一种新的绿色方法,其中内容请求和缓存执行绿色内容交付。我们设计了一个转发和缓存策略,首先定义节点的绿色度,这是衡量网络环境足迹的定量指标,在此基础上,我们确定相应的绿色路径,并鼓励交通聚集在由更环保的可再生能源驱动的绿色路径上。我们使用来自美国的真实网络拓扑和可再生能源数据集通过各种模拟验证了我们的方法,结果表明,应用所提出的绿色NDN实现了显着的生态友好收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eco-friendly Caching and Forwarding in Named Data Networking
Green networking, by making the network more energy efficient and helping reduce environmental impact, is receiving more and more attraction for sustainable ICT. In this paper, we propose a new green approach for Named Data Networking (NDN) where content requests and caching perform towards green content delivery. We design a forwarding and caching strategy, where we first define the greenness of nodes, a quantitative metric for measuring the environmental footprint of the network, based on which we identify corresponding green paths and encourage traffic to aggregate on green paths powered by more eco-friendly renewable energy. We validate our approach with a variety of simulations using real network topology and renewable energy datasets from the US, and the results show that applying the proposed green NDN achieves significant ecofriendly gains.
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