conference paper · IEEE International Conference on Big Data and Cloud Computing (BDCloud) · 2014
Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network
Tai–Yeon Ku, John D. Shin, Young-Sik Chung, Hoon Young Choi
Cited by 3Abstract and details only
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.
Cite this paper
Ku, T., Shin, J. D., Chung, Y.-S., & Choi, H. Y. (2014). Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network. IEEE International Conference on Big Data and Cloud Computing (BDCloud), 273–274. https://doi.org/10.1109/bdcloud.2014.135
Ku, Tai–Yeon, et al. “Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network.” IEEE International Conference on Big Data and Cloud Computing (BDCloud), 2014, pp. 273–74, https://doi.org/10.1109/bdcloud.2014.135.
Ku, Tai–Yeon, John D. Shin, Young-Sik Chung, and Hoon Young Choi. 2014. “Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network.” IEEE International Conference on Big Data and Cloud Computing (BDCloud): 273–74. https://doi.org/10.1109/bdcloud.2014.135.
Ku, T. et al. (2014) ‘Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network’, IEEE International Conference on Big Data and Cloud Computing (BDCloud), pp. 273–274. Available at: https://doi.org/10.1109/bdcloud.2014.135.
@article{ku2014hybrid,
title = {{Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network}},
author = {Ku, Tai–Yeon and Shin, John D. and Chung, Young-Sik and Choi, Hoon Young},
journal = {IEEE International Conference on Big Data and Cloud Computing (BDCloud)},
pages = {273--274},
year = {2014},
doi = {10.1109/bdcloud.2014.135}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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