Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network

被引：3
|
作者：
Ku, Tai-Yeon [1 ]
Chung, Young-Sik [1 ]
Shinn, John D. [2 ]
Choi, Hoon [3 ]
机构：
[1] ETRI, Software Res Lab, Analyt Software Res Sect, Dae Jeon, South Korea
[2] Solbox Inc, Solut Dev Div, Seoul, South Korea
[3] Chungnam Natl Univ, Mobile Distributed Comp Lab, Dae Jeon, South Korea
来源：
2014 IEEE FOURTH INTERNATIONAL CONFERENCE ON BIG DATA AND CLOUD COMPUTING (BDCLOUD) | 2014年
关键词：
Content Delivery Network; cache; CDN;
D O I：
10.1109/BDCloud.2014.135
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Hybrid cache architecture is the purpose of reducing network traffic in real time. For this, this paper suggest of multi-layer cache, collaborative cache and adaptive transformation using big-data analysis. Multi-layer cache compose of parent cache and edge cache. Parent cache has large scaled DB. Edge cache has small memory and high performance network ability. Each content stripes into edge cache. And each cache has a monitor agent for collecting cache status. This monitor agent sends log status to big data platform. Big data analysis engine analyses the information and determines reconfiguration of current cache layout using analysis result.
引用
收藏
页码：273 / 274
页数：2
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