Dynamic performance modeling framework for QoS-aware 5G-based IoT-edge systems-Reference-Cited by-同舟云学术

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Dynamic performance modeling framework for QoS-aware 5G-based IoT-edge systems

Published:2024-02-24 Issue:4 Volume:16 Page:2149-2160
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Bebortta Sujit,Pati Bibudhendu,Panigrahi Chhabi Rani,Senapati Dilip^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01716-7.pdf

Reference32 articles.

1. Aazam M, Zeadally S, Harras KA (2018) Offloading in fog computing for IoT: review, enabling technologies, and research opportunities. Future Gener Comput Syst 1(87):278–289

2. Bebortta S, Senapati D, Rajput NK, Singh AK, Rathi VK, Pandey HM, Jaiswal AK, Qian J, Tiwari P (2020) Evidence of power-law behavior in cognitive IoT applications. Neural Comput Appl 32:16043–16055

3. Chen X, Liu Z, Chen Y, Li Z (2019) Mobile edge computing based task offloading and resource allocation in 5G ultra-dense networks. IEEE Access 18(7):184172–184182

4. Siriwardhana Y, Porambage P, Liyanage M, Ylianttila M (2021) A survey on mobile augmented reality with 5G mobile edge computing: architectures, applications, and technical aspects. IEEE Commun Surv Tutor 23(2):1160–1192

5. Peng K, Liu P, Bilal M, Xu X, Prezioso E (2022) Mobility and privacy-aware offloading of AR applications for healthcare cyber-physical systems in edge computing. IEEE Trans Netw Sci Eng 10(5):2662–73

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