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Characterizing Interest aggregation in content-centric networks

机译:表征以内容为中心的网络中的兴趣聚合

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The Named Data Networking (NDN) and Content-Centric Networking (CCN) architectures advocate Interest aggregation as a means to reduce end-to-end latency and bandwidth consumption. To enable these benefits, Interest aggregation must be realized through Pending Interest Tables (PIT) that grow in size at the rate of incoming Interests to an extent that may eventually defeat their original purpose. A thorough analysis is provided of the Interest aggregation mechanism using mathematical arguments backed by extensive discrete-event simulation results. We present a simple yet accurate analytical framework for characterizing Interest aggregation in a CCN router, and use our model to develop an iterative algorithm to analyze the benefits of Interest aggregation in a network of interconnected routers. Our findings reveal that, under realistic assumptions, an insignificant fraction of Interests in the system benefit from aggregation, compromising the effectiveness of using PITs as an integral component of Content-Centric Networks.
机译:命名数据网络(NDN)和以内容为中心的网络(CCN)的体系结构主张将兴趣聚集作为减少端到端延迟和带宽消耗的一种手段。为了获得这些利益,必须通过未付利息表(PIT)来实现利息汇总,该未付利息表的大小以传入利息的速率增长,最终可能会破坏其原始目的。使用广泛的离散事件模拟结果支持的数学参数,对兴趣聚集机制进行了详尽的分析。我们提供了一个简单而准确的分析框架来描述CCN路由器中兴趣聚集的特征,并使用我们的模型开发了一种迭代算法来分析互连路由器网络中兴趣聚集的好处。我们的发现表明,在现实的假设下,系统中不大的兴趣部分会从聚合中受益,从而损害了将PIT用作内容中心网络不可或缺的组成部分的有效性。

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