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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Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2017R1A41015675).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Bui, K.H.N., Cho, S., Jung, J.J., Kim, J., Lee, OJ., Na, W. (2018). Network Engineering: Towards Data-Driven Framework for Network Configuration. In: Jung, J., Kim, P., Choi, K. (eds) Big Data Technologies and Applications. BDTA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-98752-1_7
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DOI: https://doi.org/10.1007/978-3-319-98752-1_7
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