通信学报 ›› 2017, Vol. 38 ›› Issue (12): 73-85.doi: 10.11959/j.issn.1000-436x.2017226
韩春静1,2,3,杨晔1,2,吕红蕾3,葛敬国3,李佟3,刘韵洁1
修回日期:
2017-10-25
出版日期:
2017-12-01
发布日期:
2018-01-19
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。
基金资助:
Chun-jing HAN1,2,3,Ye YANG1,2,Hong-lei LYU3,Jing-guo GE3,Tong LI3,Yun-jie LIU1
Revised:
2017-10-25
Online:
2017-12-01
Published:
2018-01-19
Supported by:
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。
中图分类号:
韩春静,杨晔,吕红蕾,葛敬国,李佟,刘韵洁. 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,Jing-guo GE,Tong LI,Yun-jie LIU. Research on the backbone network cache method based on application-awareness[J]. Journal on Communications, 2017, 38(12): 73-85.
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