Information consistency in information-centric networking

Lan Shi, Peng Yin, Jianhui Lv, Ying Zhao
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引用次数: 0

Abstract

Information-Centric Networking (ICN) has drawn much attention and many reports have been published. However, there also exist many problems in the information management of ICN. In this paper, we mainly propose an information consistency algorithm named Breadth First Search Limit Arrangement Principle (BFSLAP). We use this algorithm to establish a new network architecture which is based on ICN information consistency. We describe the way to set up the information consistency architecture in ICN. In addition, we propose an all-gram model and a T-value formula to extract the features of contents' names. Then, we classify the contents according to these features. At last, the simulation results indicate that our BFSLAP algorithm is better than the original flooding algorithm.
信息中心组网中的信息一致性
以信息为中心的网络(Information-Centric Networking, ICN)引起了广泛的关注,并发表了许多相关的研究报告。但是,ICN的信息管理也存在许多问题。本文主要提出了一种信息一致性算法——广度优先搜索限制排列原则(BFSLAP)。利用该算法建立了一种基于ICN信息一致性的网络结构。我们描述了在ICN中建立信息一致性体系结构的方法。此外,我们还提出了一个全grams模型和一个t值公式来提取内容名称的特征。然后根据这些特征对内容进行分类。最后,仿真结果表明,我们的BFSLAP算法优于原有的泛洪算法。
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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