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A novel metric for cache size allocation scheme in Content Centric Networking

机译:内容中心网络中用于缓存大小分配方案的新指标

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摘要

Caching scheme will change the original feature of the network in Content Centric Networking (CCN). So it becomes a challenge to describe the caching node importance according to network traffic and user behavior. In this work, a new metric named Request Influence Degree (RID) is defined to reflect the degree of node importance. Then the caching performance of CCN has been addressed with specially focusing on the size of individual CCN router caches. Finally, a newly content store space heterogeneous allocation scheme based on the metric RID across the CCN network has been proposed. Numerical experiments reveal that the new scheme can decrease the routing stretch and the source server load contrasting that of the homogeneous assignment and several graph-related centrality metrics allocations.
机译:缓存方案将改变Content Centric Networking(CCN)中网络的原始功能。因此,根据网络流量和用户行为来描述缓存节点的重要性成为一个挑战。在这项工作中,定义了一个名为“请求影响度”(RID)的新度量标准,以反映节点重要性的程度。然后,通过特别关注单个CCN路由器缓存的大小来解决CCN的缓存性能。最后,提出了一种基于跨CCN网络的度量RID的新内容存储空间异构分配方案。数值实验表明,与同类分配和几种与图形相关的中心度量分配相比,新方案可以减少路由范围和源服务器负载。

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