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

机译:OpenCache:分层命名的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)命名内容而不是端节点,并使网络内缓存可以重用那些命名的数据包,从而提高了内容传递的效率。路径缓存是ICN的固有功能,它沿从提供者到使用者的路径缓存内容,而不直接支持路径缓存,并且其维护通常需要不小的开销。在本文中,我们提出了一种轻量级的区域缓存协作方法,称为OpenCache,该方法可在缓存信息交换最少的小范围缓存之间共享流行的缓存数据,尤其是对于分层命名的ICN。与其他可用解决方案不同,OpenCache使协作者可以交换聚合的层次名称(即前缀),而不是从单独的特定数据名称中汇总的数据结构,从而从根本上降低通信和维护的协作成本。此外,我们的方法利用转发信息库(FIB)将有兴趣的数据包选择性地中继到附近的协作路由器,以进行低成本的数据检索。已经进行了理论分析和广泛的实验来评估我们的方案,结果表明,与原始ICN相比,OpenCache可以将检索数据时的数据包延迟减少约38%,而其其他协作开销仅为其他方案的约15%。我们的方法探讨了通过分层名称进行聚合进行轻量级协作的可行性。

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