文章基本信息

标题：Performance Analysis of Cache Based on Popularity and Class in Named Data Network
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作者：Leanna Vidya Yovita ; Nana Rachmana Syambas ; Ian Joseph Matheus Edward 等
期刊名称：Future Internet
电子版ISSN：1999-5903
出版年度：2020
卷号：12
期号：12
页码：227-248
DOI：10.3390/fi12120227
出版社：MDPI Publishing
摘要：The communication network is growing with some unique characteristics, such as consumers repeatedly request the same content to the server, similarity in local demand trend, and dynamic changes to requests within a specific period. Therefore, a different network paradigm is needed to replace the IP network, namely Named Data Network (NDN). The content store, which acts as a crucial component in the NDN nodes is a limited resource. In addition, a cache mechanism is needed to optimize the router’s content store by exploiting the different content services characters in the network. This paper proposes a new caching algorithm called Cache Based on Popularity and Class (CAPIC) with dynamic mechanism, and the detail explanation about the static method also presented. The goal of Static-CAPIC was to enhance the total cache hit ratio on the network by pre-determining the cache proportion for each content class. However, this technique is not appropriate to control the cache hit ratio for priority class. Therefore, the Dynamic-CAPIC is used to provide flexibility to change the cache proportion based on the frequency of requests in real-time. The formula involves considering the consumers’ request all the time. It gives a higher cache hit ratio for the priority content class. This method outperforms Static-CAPIC, and the LCD sharing scheme in the total network cache hit ratio parameter and channels it to the priority class.
关键词：Named Data Network; caching; popularity; content class; priority Named Data Network ; caching ; popularity ; content class ; priority