Research Article
Network Engineering: Towards Data-Driven Framework for Network Configuration
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@INPROCEEDINGS{10.1007/978-3-319-98752-1_7, author={Khac Bui and Sungrae Cho and Jason Jung and Joongheon Kim and O-Joun Lee and Woongsoo Na}, title={Network Engineering: Towards Data-Driven Framework for Network Configuration}, proceedings={Big Data Technologies and Applications. 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23--24, 2017, Proceedings}, proceedings_a={BDTA}, year={2018}, month={11}, keywords={Network ontology Network engineering Data science Automated-Provisioning}, doi={10.1007/978-3-319-98752-1_7} }- Khac Bui
Sungrae Cho
Jason Jung
Joongheon Kim
O-Joun Lee
Woongsoo Na
Year: 2018
Network Engineering: Towards Data-Driven Framework for Network Configuration
BDTA
Springer
DOI: 10.1007/978-3-319-98752-1_7
Abstract
In this paper, we want to introduce a new research area “network engineering”. The main research question is how the network configuration can be automatically and adaptively decided, given various dynamic contexts (e.g., network interference, heterogeneity and so on). The aim of this work is to design data-driven framework which is in three layer architecture (i.e., network entity layer, complex semantic analytics layer, and action provisioning layer).
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