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Conference Paper Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network
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Authors
Tai-Yeon Ku, Young-Sik Chung, John D. Shinn, Hoon Choi
Issue Date
2014-12
Citation
International Conference on Big Data and Cloud Computing (BdCloud) 2014, pp.273-274
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/BDCloud.2014.135
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.
KSP Keywords
Big data analysis, Big data platform, Content delivery network(CDN), High performance network, Hybrid Cache Architecture, Monitor agent, Real-time, adaptive transformation, multi-layer, network traffic