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On-path collaborative in-network caching for information-centric networks

机译:以信息为中心的网络的路径上协作式网络内缓存

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It is a challenge for Information-Centric Network (ICN) that how to maximize the utilization of network-embedded cache. On-path collaboration is an efficient way to reduce access latency and cache redundancy. All nodes on ICN routing path work together to achieve higher performance than individual cache, and lower collaboration overhead than regional collaborative cache. In this paper, we formulate the traffic cost minimization problem in on-path collaborative caching, and give some insights of it. A caching utility function is defined with respect to content popularity and distance to content cache or source, in order to evaluate the payoff of caching an item at one of the on-path collaborative nodes. An on-path collaborative caching scheme UtilCache is proposed, which keeps ICN cache decision procedure unchanged but replaces items by the proposed policy LCU (Least Caching Utility). LCU evicts the items with least caching utility calculated by the caching utility function. The collaborative messages are piggybacked by data packets with low communication overhead. Compared with state-of-the-art caching schemes, UtilCache yields better performance in cache hit ratio, low latency and low communication overhead. The experimental results demonstrate that the proposed UtilCache achieves up to 50% latency reduction compared with individual caching, and less overhead compared with other collaborative caching. It also validates the implementation of UtilCache is very easy to be seamlessly integrated in current ICN framework.
机译:对于信息中心网络(ICN)来说,如何最大程度地利用网络嵌入式缓存是一个挑战。路径上协作是减少访问延迟和缓存冗余的有效方法。 ICN路由路径上的所有节点共同工作,以实现比单个缓存更高的性能,并且比区域协作缓存降低协作开销。在本文中,我们制定了路径协同缓存中的流量成本最小化问题,并给出了一些见解。关于内容流行度以及到内容缓存或源的距离,定义了缓存实用程序功能,以便评估在路径上协作节点之一上缓存项目的收益。提出了一种基于路径的协作缓存方案UtilCache,该方案可以使ICN缓存决策过程保持不变,但是可以通过提议的策略LCU(最小缓存实用程序)来替换项目。 LCU逐出由缓存实用程序功能计算出的缓存实用程序最少的项目。协作消息由通信开销较低的数据包承载。与最新的高速缓存方案相比,UtilCache在高速缓存命中率,低延迟和低通信开销方面产生了更好的性能。实验结果表明,与单个缓存相比,建议的UtilCache可将延迟降低多达50%,与其他协作缓存相比,开销也较小。它还验证了UtilCache的实现非常容易与当前ICN框架无缝集成。

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