基于集中控制的命名数据网络流量调度方法

董谦; 李俊; 马宇翔

doi:10.11959/j.issn.1000-436x.2018121

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基于集中控制的命名数据网络流量调度方法

学术论文 | 更新时间：2024-06-05

- 基于集中控制的命名数据网络流量调度方法
- Traffic scheduling method based on centralized control in named data networking
- 通信学报 2018年39卷第7期页码：68-80
- 作者机构：
  
  1. 中国科学院计算机网络信息中心，北京 100190
  2. 中国科学院大学，北京 100049
  3. 佛山科学技术学院电子信息工程学院，广东佛山 528000
- 作者简介：
  
  [ "董谦（1986-），男，湖北咸宁人，中国科学院计算机网络信息中心博士生，佛山科学技术学院讲师，主要研究方向为未来互联网、软件定义网络、流量工程等。" ]
  [ "李俊（1968-），男，安徽桐城人，博士，中国科学院计算机网络信息中心研究员、副总工程师、博士生导师，主要研究方向为未来互联网、网络安全等。" ]
  [ "马宇翔（1991-），男，河南开封人，中国科学院计算机网络信息中心博士生，主要研究方向为网络体系结构、网络安全等。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2017YFB1401500);国家自然科学基金资助项目(61672490)
- DOI：10.11959/j.issn.1000-436x.2018121
  中图分类号： TP393
- 网络首发：2018-07，
  
  纸质出版：2018-07-25
- 稿件说明：
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董谦, 李俊, 马宇翔. 基于集中控制的命名数据网络流量调度方法[J]. 通信学报, 2018,39(7):68-80.

Qian DONG, Jun LI, Yuxiang MA. Traffic scheduling method based on centralized control in named data networking[J]. Journal on Communications, 2018, 39(7): 68-80.
董谦, 李俊, 马宇翔. 基于集中控制的命名数据网络流量调度方法[J]. 通信学报, 2018,39(7):68-80. DOI： 10.11959/j.issn.1000-436x.2018121.

Qian DONG, Jun LI, Yuxiang MA. Traffic scheduling method based on centralized control in named data networking[J]. Journal on Communications, 2018, 39(7): 68-80. DOI： 10.11959/j.issn.1000-436x.2018121.

摘要

针对命名数据网络流量全局性优化调度问题，分析已有工作，提出一种基于集中控制的方法。所提方法兼顾网络性能与通信开销，先选择合适节点作为E-NDN节点，再利用控制器根据网内缓存、Interest包聚合情况和热门内容的流量需求计算相应的多路径转发策略并下发至 E-NDN 节点，以达到全局性优化的目的。实验结果表明，所提方法可显著降低最大链路利用率，提高网络性能，同时优化代价较小，控制器与节点间的通信开销仅略有增加。

Abstract

In order to address the global optimization problem for traffic scheduling in named data networking

related works were analyzed

a method based on centralized control was proposed.The proposed method took network performance and communication overhead into account.In the proposed scheme

appropriate nodes would be selected as E-NDN nodes

then the controller calculated the corresponding multi-path forwarding policies and sent them to E-NDN nodes according to the in-network cache

the aggregation of Interest packets

and the traffic demands of popular contents to achieve global optimization.The evaluation results indicate that the proposed method can significantly reduce the maximum link utilization and improve network performance.Simultaneously

the proposed method will not cause a large optimization cost

and communication overhead between the controller and nodes will increase slightly.

关键词

Keywords

references

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