Abstract
This chapter presents an overview of emerging technologies, focusing on factors and parameters that will be revisited during the following chapters. Emerging technologies are becoming popular, affordable and pushing for a technological revolution in many disciplines. Innovative technology solutions are proposed across the board, and increasing numbers and types of users are becoming dependent on them. This revolution has managed to find its way to educational platforms, applications and both physical and virtual learning tools. The challenge with such educational innovations is that the growth and change in the education practices has not been as rapid as the growth and change in the technology field. Therefore, the user participating in the merging of these two fields to create new solutions may find it challenging in terms of a comfortable experience.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahmed A, Ahmed E (2016) Survey on mobile edge computing. In: 10th International Conference on Intelligent Systems and Control (ISCO), pp 1–8
Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of things: a survey on enabling technologies, protocols and applications. IEEE Commun Surv Tutor 17(4):2347–2376. https://doi.org/10.1109/COMST.2015.2444095
Antoniou J, Pitsillides A (2006) Radio access network selection scheme in next generation heterogeneous environments. In: Proceedings of the IST Mobile Summit
Antoniou J, Christophorou C, Neto A, Sargento S, Pinto F, Carapeto N, Mota T, Simoes J, Pitsillides A (2012) Session and network support for autonomous context-aware, multiparty communications in heterogeneous mobile systems. In: Emergent trends in personal, mobile, and handheld computing technologies. IGI Global, Hershey, pp 264–285
Brunnström K, Beker SA, de Moor K, Dooms A, Egger S et al (2013) Qualinet white paper on definitions of quality of experience. hal-00977812
Ericsson (2018) Ericsson mobility report. Retrieved from: https://www.ericsson.com
European Telecommunication Standard Institute (2010) ETSI TR 102 643: Human Factors (HF) Quality of Experience (QoE) requirements for real-time communication services [Online]. Available: http://www.etsi.org
European Telecommunication Standard Institute (2014) Network Functions Virtualization (NFV); Architectural Framework, ETSI GS NFV 002 v1.2.1 (2014-12). Retrieved from: http://www.etsi.org
Floris A, Atzori L (2015) Quality of experience in the multimedia internet of things: definition and practical use-cases. In: 2015 IEEE International Conference on Communication Workshop (ICCW), London, pp 1747–1752
Gil Y, Garijo D, Ratnakar V, Mayani R (2016) Automated hypothesis testing with large scientific data repositories. In: Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems (ACS), pp 1–6
IDC (2019) The growth in connected IoT devices is expected to generate 79.4ZB of data in 2025, according to a new IDC forecast. Retrieved from: https://www.idc.com
International Telecommunication Union (2017) ITU-T P.10/G.100 Vocabulary for performance, quality of service and quality of experience [Online]. Available: http://www.itu.int
Karagiannis G, Altintas O, Ekici E, Heijenk G, Jarupan B, Lin K, Weil T (2011) Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE Commun Surv Tutor 13(4):584–616
Kobielus J (2019) How 5G will Serve AI and Vice Versa. Retrieved from: https://www.datanami.com
Ku I, Lu Y, Gerla M, Gomes RL, Ongaro F, Cerqueira E (2014) Towards software-defined VANET: architecture and services. In: 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), pp 103–110
LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444. https://doi.org/10.1038/nature14539
MacCallum KJ (1990) Conceptual design environments-research directions and issues. In: IEE Colloquium on Strategic Research Issues in AI in Engineering, London, pp 1/1–1/4
Palattella MR et al (2016) Internet of things in the 5G era: enablers architecture and business models. IEEE J Sel Areas Commun 34(3):510–527
Shahzad M, Antoniou J (2019) Quality of user experience in 5G-VANET. In: IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pp 1–6
Sun Z, Zou H, Strang K (2015) Big data analytics as a service for business intelligence. In: Janssen M et al (eds) Open and big data management and innovation. I3E 2015. Lecture notes in computer science, vol 9373. Springer, Cham
Xiao Y, Zhu C (2017) Vehicular fog computing: vision and challenges. IEEE Comput Soc Digit Libr 1:6–9. https://doi.org/10.1109/percomw.2017.7917508
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Antoniou, J. (2021). Quality of Experience and Emerging Technologies: Considering Features of 5G, IoT, Cloud and AI. In: Quality of Experience and Learning in Information Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-52559-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-52559-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52558-3
Online ISBN: 978-3-030-52559-0
eBook Packages: EngineeringEngineering (R0)