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。
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 tem- poral 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 UO load reduced bv about half.
出处
《通信学报》
EI
CSCD
北大核心
2017年第12期73-85,共13页
Journal on Communications
基金
国家重点研发计划基金资助项目(No.2017YFB0801801)
国家科技重大专项基金资助项目(No.2017ZX03001019)~~