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Performance Assessment of Cache Strategies in Content Centric Network

机译:内容中心网络中缓存策略的性能评估

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In-net caching is an important part of the content centric network architecture. So far, the default "Leave Copy Everywhere (LCE)" caching policy will cache all content without distinction, lead to a large number of cache content redundant in the nodes of network. Due to the limitation of node cache size, redundant reduced the verity of cache content cached in network, result in bad utilization of cache space. To boost the performance of the cache, many improved mechanisms have been put forward, including LCD, MCD and ProbCache caching policies. This article respectively experimented the LCE, LCD, MCD and ProbCache algorithm, judging by standards like content response delay, network link load, server stress, evaluation index, analyzed factors, such as network topology, content popularity and cache space, have what kind of effect on these policies? performance.
机译:内部缓存是内容中心网络架构的重要组成部分。到目前为止,默认的“休假副本到处(lce)”缓存策略将缓存所有内容而不区分,导致网络节点中的大量高速缓存内容冗余。由于节点高速缓存大小的限制,冗余降低了网络中缓存的缓存内容的真实,导致高速缓存空间利用不良。为了提高缓存的性能,已提出许多改进的机制,包括LCD,MCD和Probcache缓存策略。本文分别尝试了LCE,LCD,MCD和Probcache算法,通过标准等标准,如内容响应延迟,网络链路负载,服务器应力,评估指标,分析因素,如网络拓扑,内容流行度和缓存空间,有什么样的对这些政策的影响?表现。

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