5
Conclusion and further research perspectives
The concept of the Future Network is expected to provide functionality and services
that go beyond the limitations of modern networking technologies, while at the same
time observing several problematic issues related to technical aspects concern the per-
formance. On the research and development agenda of academia and industry, the con-
ceptual vision for developing future network capabilities is being elaborated, together
with specific research domain of adaptation possibilities.
There are many requirements on a
future network architecture, among which the
demand for flexible architecture is important because a next generation network faces
various requirements
from yet unknown applications,
and from other hand, it has to
adapt to new transport technologies (wired and mobile) with different capabilities, and
should enable evolutionary changes of the network itself. Adaptation to different tech-
nologies is required in order to integrate a wide range of end systems like sensor nodes
and high performance systems. This adaptability can be achieved by flexible provision-
ing of functionality. Along with proposed in this paper methodology
for engineering
the adaptation for networking systems, authors state the necessity to define the feedback
mechanisms and appropriate model extensions when considering real-time systems.
The further research efforts are for conceptual modeling
of multi-agent systems for
cyber-physical systems, including within technological requirements of Industry 4.0.
References
1.
Future Networks & Services: Developing the Future of the Internet through European Re-
search/EU Commission Information Society and Media, 2010.
2.
Future Networks – Design Goals and Challenges, A viewpoint from ITU-T, ICAS 23rd May
2011. Venice
3.
Paul, Subharthi, Pan, Jianli and Jain, Raj, Architectures for the Future Networks and the Next
Generation Internet: A Survey/ Report Number: wucse-2009-69 (2009). All Computer Science
and Engineering Research. https://openscholarship.wustl.edu/cse_research/22
4.
Uckelmann, D. et al. (eds.): Architecting the Internet of Things/doi 10.1007/978-3-642-
19157-2_1, Springer-Verlag Berlin Heidelberg, 2011.
5.
Haddadi Hamed, Bonaventure Olivier (editors): Recent Advances in Networking, Volume
1/ACM SIGCOMM eBook, August, 2013.
6.
Asmaa Achtaich, Nissrine Souissi, Raul Mazo, Camille Salinesi, Ounsa Roudies. Designing a
Framework for Smart IoT Adaptations. International Conference on Emerging Technologies for
Developing Countries, Mar 2017, Marrakech, Morocco. ffhal-01592470
7.
Yusupbekov N.R., Adilov F.T., Ergashev F.A. Development And Improvement of Systems of
Automation And Management of Technological Processes and Manufactures/Journal of Auto-
mation, Mobile Robotics & Intelligent Systems, USA, №3, Volume 11, 2017, p.53-57.
8.
Meftah Zouai, et ali IoT Approach Using Multi-Agent System for Ambient Intelligence In-
ternational Journal of Software Engineering and Its Applications Vol.11, No.9 (2017), pp.15-32
http://dx.doi.org/10.14257/ijseia.2017.11.9.02 Article in International Journal of Software En-
gineering and its Applications · September 2017 DOI: 10.14257/ijseia.2017.11.9.02
9.
Davide Calvaresi, et ali The Challenge of Real-Time Multi-Agent Systems for Enabling IoT
and CPS/ WI '17: Proceedings of the International Conference on Web IntelligenceAugust
2017 Pages 356–364, https://doi.org/10.1145/3106426.3106518
11
10.
Munindar P. Singh ; Amit K. Chopra The Internet of Things and Multiagent Systems: De-
centralized Intelligence in Distributed Computing 2017 IEEE 37th International Conference on
Distributed Computing Systems (ICDCS) doi: 10.1109/ICDCS.2017.304
11.
Hiramatsu A., Kawamura R., Flexible Networking Technologies for Future Networks/ NTT
Technical Review, Vol. 10 No. 8 Aug. 2012.
12.
P. Schulz et al., "Network Architectures for Demanding 5G Performance Requirements:
Tailored Toward Specific Needs of Efficiency and Flexibility," in IEEE Vehicular Technology
Magazine, vol. 14, no. 2, pp. 33-43, June 2019, doi: 10.1109/MVT.2019.2904185.
13.
Antoni Olive, Conceptual Modeling of Information Systems, Springer Berlin Heidelberg,
2007.
14.
Yusupbekov, N.R., Gulyamov, S.M., Kasimov, S.S., Usmanova, N.B. Knowledge-based
planning for industrial automation systems: The way to support decision making/2019-Ad-
vances in Intelligent Systems and Computing, Vol. 896. Springer DOI: 10.1007/978-3-030-
04164-9_115
15.
Francisco Javier Acosta Padilla. Self-adaptation for Internet of things applications. Soft-
ware Engineering [cs.SE]. Université Rennes 1, 2016. English. ffNNT: 2016REN1S094ff. fftel-
01426219v2f
16.
Becker J., Delfman P. (Editors) Reference Modeling: Efficient Information Systems Design
Through Reuse of Information Models/Physica-Verlag A Springer Company, 2007.
17.
Rastrigin L.A. Adaptation of complex systems. - Riga: Zinatne, 1981.
18.
Michael Wooldridge, An Introduction to MultiAgent Systems/Join Wiley & Sons, 2nd Edi-
tion 2009.
19.
Pablo Pico-Valencia, Juan A Holgado-Terriza, Agentification of the Internet of Things: A
systematic literature review/International Journal of Distributed Sensor Networks Volume: 14
issue: 10, 2015, https://doi.org/10.1177/1550147718805945
View
publication stats
