DocumentCode :
262366
Title :
Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network
Author :
Tai-Yeon Ku ; Shin, John D. ; Young-Sik Chung ; Hoon Choi
Author_Institution :
Software Res. Lab., ETRI, Dae-jeon, South Korea
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
273
Lastpage :
274
Abstract :
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.
Keywords :
Big Data; cache storage; computer networks; Big Data analysis engine; adaptive transformation; collaborative cache; content delivery network; high performance network ability; hybrid cache architecture; large scaled DB. Edge cache; multilayer cache; network traffic; Big data; Computer architecture; Computers; Distributed databases; Monitoring; Servers; Software; CDN; Content Delivery Network; cache;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/BDCloud.2014.135
Filename :
7034800
Link To Document :
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