Skip to main content

Network Engineering: Towards Data-Driven Framework for Network Configuration

  • Conference paper
  • First Online:
Big Data Technologies and Applications (BDTA 2017)

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).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 60.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gupta, A., Jha, R.-K.: A survey of 5G network: architecture and emerging technologies. IEEE Access 3, 1206–1232 (2015)

    Article  Google Scholar 

  2. Miornandi, D., Sicari, S., Pellegrini, F.-D., Chlamtac, I.: Internet of Things: vision, applications and research challenges. Ad Hoc Netw. 10(7), 1497–1516 (2012)

    Article  Google Scholar 

  3. China Mobile C-RAN: The road towards green RAN. White Paper, Ver, 2 (2011)

    Google Scholar 

  4. Tragos, E.-Z., Angelakis, V.: Cognitive radio inspired M2M communications. In: Proceedings of 16th IEEE International Symposium on Wireless Personal Multimedia Communications (WPMC), pp. 1–5 (2013)

    Google Scholar 

  5. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29(7), 1645–1660 (2013)

    Article  Google Scholar 

  6. Bhargav, A.-S., Squicciarini, A.-C., Bertino, E.: Trust negotiation in identity management. IEEE Secur. Priv. 5(2), 55–63 (2007)

    Article  Google Scholar 

  7. Nguyen, H.-L., Lee, O.-J., Jung, J.-E., Park, J., Um, T.-W., Lee, H.-W.: Event-driven trust refreshment on ambient services. IEEE Access 5, 4664–4670 (2017)

    Article  Google Scholar 

  8. Zorzi, M., Gluhak, A., Lange, S., Bassi, A.: From today’s Intranet of Things to a future Internet of Things: a wireless-and mobility-related view. IEEE Wirel. Commun. 17(6), 43–51 (2010)

    Article  Google Scholar 

  9. Yu, G.-J., Bui, K.-H.-N.: A novel downlink interference management mechanism for two-tier OFDMA femtocell networks. J. Adv. Comput. Netw. 4(2), 80–85 (2016)

    Google Scholar 

  10. Atzori, L., Iera, A., Morabito, G.: The The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  Google Scholar 

  11. Yun, M., Yuxin, B.: Research on the architecture and key technology of Internet of Things (IoT) applied on smart grid. In: Proceedings of IEEE International Conference on Advances in Energy Engineering (ICAEE), pp. 69–72 (2010)

    Google Scholar 

  12. Bui, K.-H.-N., Camacho, D., Jung, J.-E.: Real-time traffic flow management based on inter-object communication: a case study at intersection. Mob. Netw. Appl. 22(4), 613–624 (2017)

    Article  Google Scholar 

  13. Bui, K.-H.-N., Jung, J.-E., Camacho, D.: The game theoretic approach on real-time decision making for IoT-based traffic light control. Concurr. Comput. Pract. Exp. 29(1511), e4077 (2017)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2017R1A41015675).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jason J. Jung .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-98752-1_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98751-4

  • Online ISBN: 978-3-319-98752-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics