Big Data Technologies and Applications. 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23–24, 2017, Proceedings

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
Khac Bui1,*, Sungrae Cho1,*, Jason Jung1,*, Joongheon Kim1,*, O-Joun Lee1,*, Woongsoo Na1,*
  • 1: Chung-Ang University
*Contact email: hoainam.bk2012@gmail.com, srcho@cau.ac.kr, j2jung@gmail.com, joongheon@cau.ac.kr, concerto9203@gmail.com, wsna@uclab.re.kr

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).