Title
Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network
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.
Year
DOI
Venue
2014
10.1109/BDCloud.2014.135
BDCloud
Keywords
Field
DocType
cdn,collaborative cache,network traffic,cache storage,multilayer cache,content delivery network,large scaled db. edge cache,adaptive transformation,cache,computer networks,big data analysis engine,big data,hybrid cache architecture,high performance network ability,distributed databases,servers,computer architecture
Cache invalidation,Cache pollution,Snoopy cache,Computer science,Cache,Cache algorithms,Page cache,Cache coloring,Smart Cache,Operating system
Conference
Citations 
PageRank 
References 
1
0.38
4
Authors
4
Name
Order
Citations
PageRank
Tai-Yeon Ku1198.18
John D. Shin210.38
Young-Sik Chung310.38
Hoon Choi411.73