电信科学 ›› 2015, Vol. 31 ›› Issue (9): 73-82.doi: 10.11959/j.issn.1000-0801.2015091

• 研究与开发 • 上一篇    下一篇

一种面向内容且性特征的自适应管线传输机制

伊鹏,张震,程东年,兰巨龙   

  1. 国家数字交换系统工程技术研究中心 郑州450002
  • 出版日期:2015-09-15 发布日期:2013-05-15
  • 作者简介:伊鹏，男，博士，国家数字交换系统工程技术研究中心副教授，主要研究方向为网络体系结构。
    张震，男，博士，国家数字交换系统工程技术研究中心讲师，主要研究方向为网络体系结构。
    程东年，男，博士，国家数字交换系统工程技术研究中心教授，主要研究方向为网络体系结构。
    兰巨龙，男，博士，国家数字交换系统工程技术研究中心教授，主要研究方向为网络体系结构。
  • 基金资助:
    国家重点基础研究发展计划（“973”计划）基金资助项目;国家重点基础研究发展计划（“973”计划）基金资助项目;国家自然科学基金资助项目

A Transmission Mechanism of Self-Adjustment Pipeline Oriented on Common Content Characteristics

Peng,ZhangZhen Yi,Dongnian Cheng,Julong Lan,   

  1. National Digital Switching System Engineering ＆ Technological R＆D Center, Zhengzhou 450002, China
  • Online:2015-09-15 Published:2013-05-15
  • Supported by:
    The National Basic Research Program of China（973 Program）;The National Basic Research Program of China（973 Program）;The National Science Foundation of China

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摘要：

摘要：以内容为中心是未来网络的发展方向。当前网络以实现主机互连为核心，其下层传送单元无法表征上层内容的语义。拟归纳各类应用的内容特征，构造针对内容特征的网络传送结构——参数化自适应内容管线，构建内容特征到管线的映射，将内容特征归一化为管线参数，建立内容特征驱动的自适应传递通道。主要研究内容特征解析、内容管线结构、管线对内容特征的自动匹配等，其结果实现变化特征动态提取、管道参数实时计算、管道规格跟随调整。

关键词: 内容中心网络, 内容管线, 内容特征

Abstract:

Content-centric networking is the core of future network. Current network was established on the inter-connection of host, in which the bottom transmission units could not denote semantics of upper content. The content characteristics for various applications were concluded. The network transmission structure which was named parametric self-adapting content pipeline for content characteristics was consturcted. The mapping between content characteristics and the pipeline was established. All content characteristics would be normalized by pipeline parameters, and therefore establish the self-adapting transmission channel driven by content characteristics. In detail, the resolution of content characteristics, the structure of content pipeline,the automatic matching between pipeline and content characteristics were researched. This would realize the dynamic extraction, real-time computing of pipeline parameters and the corresponding adjustment of pipeline specifications.

Key words: content-centric network, content pipeline, content characteristics

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