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Green growth in NDN: Deployment of content stores

机译:NDN的绿色增长:内容存储库的部署

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Named-Data Networking architecture relies on cache networks, where nodes store the data for further requests. However, the memory needed at each node called Content Store represents the most significant part of the entire cost of the infrastructure that has to be supported by network providers, making difficult the change from the current Internet infrastructure to a Future Internet based on NDN. Thus, a legitimate question would be: “are all these Content Stores useful in a large-scale NDN network?” In this paper, we investigate the impact of Content Stores in NDN network, and we evaluate the performances of the NDN architecture according to the number of Content Stores effectively deployed in the network. We show through extensive simulation experiments in NS-3 that only about 50% of nodes with Content Stores is enough to achieve higher level of performances than a fully-deployed NDN network. This result is very important for the deployment of NDN architecture as it shows that the infrastructure cost can be drastically reduced and it is an incentive for network providers that benefits directly from this result.
机译:命名数据网络体系结构依赖于缓存网络,其中节点存储数据以用于进一步的请求。但是,在每个称为“内容存储”的节点上需要的内存代表了网络提供商必须支持的基础架构总成本中最重要的部分,这使得从当前Internet基础架构到基于NDN的Future Internet的转变变得困难。因此,一个合理的问题将是:“所有这些内容存储在大规模NDN网络中有用吗?”在本文中,我们调查了内容存储在NDN网络中的影响,并根据网络中有效部署的内容存储的数量来评估NDN体系结构的性能。我们通过在NS-3中进行的广泛模拟实验表明,与完全部署的NDN网络相比,只有大约50%的内容存储节点能够实现更高的性能水平。此结果对于NDN架构的部署非常重要,因为它表明可以大大降低基础结构成本,并且这是激励网络提供商直接受益于此结果的诱因。

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