Using Information Theory to Study the Efficiency and Capacity of Caching in the Computer Networks
Boris Ryabko

TL;DR
This paper applies information theory to evaluate and estimate the efficiency and capacity of caching mechanisms in computer networks with heterogeneous memory types.
Contribution
It introduces a novel method for estimating caching efficiency and capacity based on analyzing different kinds of accessible memory.
Findings
Provides a theoretical framework for caching analysis
Offers a method to estimate caching capacity and efficiency
Addresses heterogeneous memory in network caching
Abstract
Nowadays computer networks use different kind of memory whose speeds and capacities vary widely. There exist methods of a so-called caching which are intended to use the different kinds of memory in such a way that the frequently used data are stored in the faster memory, wheres the infrequent ones are stored in the slower memory. We address the problems of estimating the caching efficiency and its capacity. We define the efficiency and capacity of the caching and suggest a method for their estimation based on the analysis of kinds of the accessible memory.
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Taxonomy
TopicsCaching and Content Delivery · Peer-to-Peer Network Technologies · Algorithms and Data Compression
