面向应用感知的骨干网缓存方法研究

韩春静; 杨晔; 吕红蕾; 葛敬国; 李佟; 刘韵洁

doi:10.11959/j.issn.1000-436x.2017226

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面向应用感知的骨干网缓存方法研究

学术论文 | 更新时间：2024-06-05

- 面向应用感知的骨干网缓存方法研究
- Research on the backbone network cache method based on application-awareness
- 通信学报 2017年38卷第12期页码：73-85
- 作者机构：
  
  1. 中国科学院计算技术研究所，北京 100190
  2. 中国科学院大学，北京100049
  3. 中国科学院信息工程研究所，北京 100093
- 作者简介：
  
  [ "韩春静（1978-），女，河南郑州人，中国科学院计算技术研究所博士生，中国科学院信息工程研究所高级工程师、硕士生导师，主要研究方向为网络测量与行为分析、网络信息流识别与处理等。" ]
  [ "杨晔（1995-），男，安徽池州人，中国科学院计算技术研究所博士生，主要研究方向为下一代互联网。" ]
  [ "吕红蕾（1981-），女，河北邢台人，中国科学院信息工程研究所高级工程师、硕士生导师，主要研究方向为网络测量与行为分析、大规模网络流数据处理等。" ]
  [ "葛敬国（1973-），男，安徽肥东人，博士，中国科学院信息工程研究所研究员、博士生导师，主要研究方向为网络体系结构与安全防护、网络测量与行为分析。" ]
  [ "李佟（1978-），男，辽宁盘锦人，中国科学院信息工程研究所高级工程师、硕士生导师，主要研究方向为网络和计算机体系结构、网络测量与行为分析。" ]
  [ "刘韵洁（1943-），男，山东烟台人，中国科学院院士，中国科学院计算技术研究所教授、博士生导师，主要研究方向为未来网络架构及关键技术、网络融合与演进。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2017YFB0801801);国家科技重大专项基金资助项目(2017ZX03001019)
- DOI：10.11959/j.issn.1000-436x.2017226
  中图分类号： TP391
- 网络首发：2017-12，
  
  纸质出版：2017-12-25
- 稿件说明：
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韩春静, 杨晔, 吕红蕾, 等. 面向应用感知的骨干网缓存方法研究[J]. 通信学报, 2017,38(12):73-85.

Chun-jing HAN, Ye YANG, Hong-lei LYU, et al. Research on the backbone network cache method based on application-awareness[J]. Journal on Communications, 2017, 38(12): 73-85.
韩春静, 杨晔, 吕红蕾, 等. 面向应用感知的骨干网缓存方法研究[J]. 通信学报, 2017,38(12):73-85. DOI： 10.11959/j.issn.1000-436x.2017226.

Chun-jing HAN, Ye YANG, Hong-lei LYU, et al. Research on the backbone network cache method based on application-awareness[J]. Journal on Communications, 2017, 38(12): 73-85. DOI： 10.11959/j.issn.1000-436x.2017226.

摘要

基于某运营商骨干网上9亿条HTTP请求，分析了HTTP请求组成、内容长度、流行度和时间动态性，提出一种面向应用感知的骨干网缓存方法（AACM，application-aware backbone network cache method）。实验结果表明在缓存空间略有增加的情况下，在线视频的内容命中率提高了15%以上，回源流量和缓存负载这些指标降低了一半左右。

Abstract

Based on over 900 million HTTP requests from an ISP backbone network，the HTTP characteristic of different content types from a wide range of perspectives was analyzed，including request composition，size，popularity and temporal dynamics，and an application-aware backbone network cache method was proposed，referred to as AACM.The experiment results show that in the case of a slight increase in cache space，the hit ratio of the online-video increases 15%， and the total source traffic and cache I/O load reduced by about half.

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references

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