On information-theoretic approach to estimate the efficiency of caching techniques in content delivery networks

P. Pristavka
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Abstract

Nowadays content delivery network is a modern wide spread tool to distribute media content to end users via the Internet but still we have no generally accepted way to estimate its efficiency. This paper is devoted to the description of information-theoretic approach for performance estimation of such systems. The keynote of the method is a calculation of a special characteristic suggested which indicates actually the growth rate of the amount of files that can be transmitted via the network depending on a certain unit of time. The calculation of this defined as entropy efficiency within the paper characteristic is based on the Information Theory and let it possible to evaluate the estimation analytically considering only description of the desired parameters of a network being constructed. This approach is considered then in terms of a way to apply the approach to the efficiency estimation of different caching strategies. Simple calculation example is provided also in order to clarify the approach.
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用信息论方法估计内容传递网络中缓存技术的效率
内容分发网络是一种通过互联网将媒体内容分发给最终用户的现代广泛传播的工具,但我们仍然没有普遍接受的方法来评估其效率。本文致力于描述这类系统性能评估的信息论方法。该方法的核心是对所提出的一个特殊特性的计算,该特性实际上表明了在一定单位时间内可以通过网络传输的文件量的增长率。这种被定义为论文特征内的熵效率的计算是基于信息论的,使得仅考虑对正在构建的网络的期望参数的描述就可以对估计进行分析评估。然后从将该方法应用于不同缓存策略的效率评估的角度来考虑该方法。为了说明该方法的可行性,文中还给出了简单的计算实例。
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