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OpenCache: A lightweight regional cache collaboration approach in hierarchical-named ICN

机译:OpenCache:分层名为ICN中的轻量级区域缓存协作方法

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Information-centric networking (ICN) names contents instead of end-nodes and enables in-network caching to reuse those named packets, thus improving the efficiency of content delivery. On-path caching is an inherent feature in ICN, which caches contents along the path from providers to consumers, while off-path caching is not directly supported and its maintenance normally requires non-trivial overhead. In this paper, we propose a lightweight regional cache collaboration approach, called OpenCache, to sharing popular cached data among small-range caches with least cache information exchanges, especially for hierarchical-named ICN. Different from other available solutions, OpenCache enables collaborators to exchange aggregated hierarchical names (i.e., prefixes), instead of data structures summarized from separated and specific data names, to fundamentally reduce the collaborating cost of communication and maintenance. In addition, our approach exploits forwarding information base (FIB) to selectively relay Interest packets to nearby collaborative routers for low-cost data retrieval. Theoretical analyses and extensive experiments have been conducted to evaluate our scheme and the results show that OpenCache can reduce packet latency in retrieving data by about 38% compared to original ICN while its additional collaborating overhead is only around 15% of other schemes. Our approach explores the feasibility of lightweight collaboration with aggregation of hierarchical names.
机译:以信息为中心的网络(ICN)名称内容而不是终端节点,并启用网络内高速缓存以重用那些命名数据包,从而提高内容传递的效率。路径缓存是ICN中的一个固有功能,其在从提供商到消费者的路径中缓存内容,而非直接支持路径缓存,并且其维护通常需要非普通开销。在本文中,我们提出了一种名为OpenCache的轻量级区域缓存协作方法,以共享具有最小缓存信息交换的小型高速缓存之间的流行缓存数据,尤其是用于分层命名的ICN。不同于其他可用解决方案,OpenCache使协作者能够交换聚合的分层名称(即,前缀),而不是从分离和特定的数据名称汇总的数据结构,从而从根本上降低了沟通和维护的协作成本。此外,我们的方法利用转发信息库(FIB)来选择性地将兴趣数据包中继到附近的用于低成本数据检索的协作路由器。已经进行了理论分析和广泛的实验以评估我们的方案,结果表明,与原始ICN相比,OpenCache可以减少检索数据的数据包延迟,而原始ICN相比,其额外的合作开销仅为其他方案的15%。我们的方法探讨了轻量级协作与分层名称的聚合的可行性。

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