Community Preference-Based Information-Centric Networking Cache

X. Yang, Chaofeng Zhang, Caijuan Chen, Haozhe Liang
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引用次数: 1

Abstract

Information-centric networking (ICN) framework has been proposed to connect data content and network users together, which leads to great efficiency in comparison to conventional network. Cache policy performances as an essential part of ICN, and many studies have been conducted to research this. However, there are still two problems remaining unsolved, 1) ignoring the network user community features, 2) without considering the correlations between users and data content. To optimize these shortcomings, a community preference-based ICN cache policy was proposed. This policy will comprehensively consider the data content features and user community preference and then utilize recommendation system to cache the data into corresponding servers. Moreover, policy advantages and simulation will also be evaluated in this paper.
基于社区偏好的信息中心网络缓存
提出了以信息为中心的网络(Information-centric networking, ICN)框架,将数据内容和网络用户连接在一起,与传统网络相比具有更高的效率。缓存策略性能作为ICN的重要组成部分,已经有很多研究对此进行了研究。然而,仍有两个问题没有得到解决,1)忽略了网络用户群体特征,2)没有考虑用户与数据内容之间的相关性。为了优化这些缺点,提出了一种基于社群偏好的ICN缓存策略。该策略将综合考虑数据内容特征和用户群体偏好,然后利用推荐系统将数据缓存到相应的服务器。此外,本文还将对政策优势和模拟进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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