Skip to main content

The Challenge of Adaptation in Future Networking Environment: Engineering Methodology

  • Conference paper
  • First Online:
14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 (ICAFS 2020)

Abstract

The technological strategy towards building the new Internet and efforts of research community in developing the paradigm of Future Network (FN) are devoted mainly to overcome the constraints of today’s networks in performance and effectiveness. Through the digital transformation, the future of networking technologies for the coming decades will involve new technologies such as virtual and augmented reality, artificial intelligence, 5G, quantum computing, adaptive and predictive cybersecurity, intelligent Internet of things and many others, opening up for the users unprecedented opportunities of applications and services. However, these next-generation applications will require more sophisticated network functionality to providing much better support for a broad range of requirements. Considering some conceptual features of FN, including the ability to attract the application requirements, this paper describes the issues of adaptation for future networking systems supported by internet infrastructure in different terms. The methodology to engineering the adaptation is proposed to elaborate the behavior of components in complex networking environment for more flexible attraction of features and simple simulation scenario is provided to demonstrate the approach.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Similar content being viewed by others

References

  1. Future Networks & Services: Developing the future of the internet through european research. EU Comm. Inform. Soc. Media (2010). https://doi.org/10.2759/22659

    Article  Google Scholar 

  2. Galis, A.: Future networks – design goals and challenges. a viewpoint from ITU-T. In: Seventh International Conference on Autonomic and Autonomous Systems, Keynote (2011). http://www.iaria.org/conferences2011/filesICAS11/ICAS2011_AlexGalis_KeyNote.pdf

  3. Subharthi, P., Jianli, P., Raj, J.: Architectures for the Future Networks and the Next Generation Internet. A Survey/Report Number: wucse-2009–69 (2009)

    Google Scholar 

  4. Uckelmann, D., Harrison, M., Michahelleset, F. (eds.): Architecting the Internet of Things. Springer-Verlag, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19157-2_1

    Book  Google Scholar 

  5. Hamed, H., Olivier, B. (eds.): Recent Advances in Networking, vol. 1. ACM SIGCOMM eBook (2013)

    Google Scholar 

  6. Achtaich, A., Souissi, N., Mazo, R., Salinesi, C., Roudies, O.: Designing a framework for smart IoT adaptations. In: International Conference on Emerging Technologies for Developing Countries, pp. 1–10, Marrakech, Morocco. ffhal-01592470 (2017)

    Google Scholar 

  7. Yusupbekov, N., Adilov, F., Ergashev, F.: Development and Improvement of Systems of Automation and Management of technological processes and manufactures. J. Autom. Mobile Robot. Intell. Syst. 3, 53–57 (2017)

    Google Scholar 

  8. Zouai, M., Kazar, O., Haba, B., Saouli, H., Benfenati, H.: IoT approach using multi-agent system for ambient intelligence. Int. J. Softw. Eng. Appl. 9, 15–32 (2017). https://doi.org/10.14257/ijseia.2017.11.9.02

    Article  Google Scholar 

  9. Calvaresi, D., Marinoni, M., Sturm, A., Schumacher, M., Buttazzo, G.: The Challenge of real-time multi-agent systems for enabling IoT and CPS. In: Proceedings of the International Conference on Web Intelligence, pp. 356–364. (2017). https://doi.org/10.1145/3106426.3106518

  10. Singh, M.P., Chopra, A.K.: The Internet of Things and multi-agent systems: decentralized intelligence in distributed computing. In: IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 1738–1747. Atlanta, GA (2017). https://doi.org/10.1109/icdcs.2017.304

  11. Hiramatsu, A., Kawamura, R.: Flexible networking technologies for future networks. NTT Tech. Rev. 8(10), 1–3 (2012)

    Google Scholar 

  12. Schulz, Ph, Wolf, A., Fettweis, G.P., Waswa, A., Soleymani, D.A.: Network architectures for demanding 5G performance requirements: tailored toward specific needs of efficiency and flexibility. IEEE Veh. Technol. Mag. 2, 33–43 (2019). https://doi.org/10.1109/MVT.2019.2904185

    Article  Google Scholar 

  13. Olive, A.: Conceptual Modeling of Information Systems. Springer, Berlin Heidelberg (2007)

    MATH  Google Scholar 

  14. Padilla, F.A.: Self-adaptation for Internet of things applications. Software Engineering [cs.SE]. Université Rennes 1 (2016). English. ffNNT: 2016REN1S094ff. fftel-01426219v2f

    Google Scholar 

  15. Becker, J., Delfman, P. (eds.): Reference Modeling: Efficient Information Systems Design Through Reuse of Information Models. Physica-Verlag A Springer Company, Heidelberg (2007)

    Google Scholar 

  16. Rastrigin, L.A.: Adaptation of Complex Systems. Zinatne, Riga (1981). (in Russian)

    MATH  Google Scholar 

  17. Yusupbekov, N.R., Gulyamov, Sh.M., Kasimov, S.S., Usmanova, N.B.: Knowledge-Based planning for industrial automation systems: the way to support decision making. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F.M. (eds.) ICAFS 2018. AISC, vol. 896, pp. 873–879. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04164-9_115

    Chapter  Google Scholar 

  18. Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn. Join Wiley & Sons, New Jersey (2009)

    Google Scholar 

  19. Pico-Valencia, P., Holgado-Terriza, J.: Agentification of the Internet of Things: a systematic literature review. Int. J. Distrib. Sens. N. 10, 1–20 (2018). https://doi.org/10.1177/1550147718805945

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. B. Usmanova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yusupbekov, N.R., Gulyamov, S.M., Usmanova, N.B. (2021). The Challenge of Adaptation in Future Networking Environment: Engineering Methodology. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 . ICAFS 2020. Advances in Intelligent Systems and Computing, vol 1306. Springer, Cham. https://doi.org/10.1007/978-3-030-64058-3_101

Download citation

Publish with us

Policies and ethics