Zobrazeno 1 - 10
of 84
pro vyhledávání: '"N.-T. Huynh"'
Autor:
Luan N. T. Huynh, Quoc-Viet Pham, Tri D. T. Nguyen, Md. Delowar Hossain, Young-Rok Shin, Eui-Nam Huh
Publikováno v:
IEEE Access, Vol 9, Pp 12943-12954 (2021)
Multi-access edge computing (MEC) can improve the users' computational capacity and battery life by moving computing services to the network edge. In addition, data-content caching on a MEC server improves the user quality of experience and decreases
Externí odkaz:
https://doaj.org/article/1474c5f05f104c3d97aa0c933dfa5667
Akademický článek
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Autor:
Md Delowar Hossain, Tangina Sultana, Md Alamgir Hossain, Md Imtiaz Hossain, Luan N. T. Huynh, Junyoung Park, Eui-Nam Huh
Publikováno v:
Sensors, Vol 21, Iss 4, p 1484 (2021)
Multi-access edge computing (MEC) is a new leading technology for meeting the demands of key performance indicators (KPIs) in 5G networks. However, in a rapidly changing dynamic environment, it is hard to find the optimal target server for processing
Externí odkaz:
https://doaj.org/article/ed0bef3881d44967a6cedbc86e2ca32e
Autor:
Md Delowar Hossain, Tangina Sultana, VanDung Nguyen, Waqas ur Rahman, Tri D. T. Nguyen, Luan N. T. Huynh, Eui-Nam Huh
Publikováno v:
Applied Sciences, Vol 10, Iss 9, p 3115 (2020)
Accelerating the development of the 5G network and Internet of Things (IoT) application, multi-access edge computing (MEC) in a small-cell network (SCN) is designed to provide computation-intensive and latency-sensitive applications through task offl
Externí odkaz:
https://doaj.org/article/fa907b75c326450c9f97bd95672efb14
Publikováno v:
Machine Learning and Mechanics Based Soft Computing Applications ISBN: 9789811964497
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99789b4c80d32c0478ee3f051fd0e3d
https://doi.org/10.1007/978-981-19-6450-3_12
https://doi.org/10.1007/978-981-19-6450-3_12
Autor:
Luan N. T. Huynh, Quoc-Viet Pham, Xuan-Qui Pham, Tri D. T. Nguyen, Md Delowar Hossain, Eui-Nam Huh
Publikováno v:
Applied Sciences, Vol 10, Iss 1, p 203 (2019)
In recent years, multi-access edge computing (MEC) has become a promising technology used in 5G networks based on its ability to offload computational tasks from mobile devices (MDs) to edge servers in order to address MD-specific limitations. Despit
Externí odkaz:
https://doaj.org/article/760d396c193340f5be81c57b212bf1a4
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Eui-Nam Huh, Md. Delowar Hossain, Van-Nam Pham, Luan N. T. Huynh, VanDung Nguyen, Tri D.T. Nguyen
Publikováno v:
IEEE Internet of Things Journal. 8:1687-1701
Multiaccess edge computing (MEC) enables autonomous vehicles to handle time-critical and data-intensive computational tasks for emerging Internet-of-Vehicles (IoV) applications via computation offloading. However, a massive amount of data generated b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::860f8ede7597abda8e7f3786b0e5c0be
https://doi.org/10.1109/jiot.2020.3015534
https://doi.org/10.1109/jiot.2020.3015534
Autor:
Quoc-Viet Pham, Young-Rok Shin, Tri D.T. Nguyen, Md. Delowar Hossain, Eui-Nam Huh, Luan N. T. Huynh
Publikováno v:
IEEE Access, Vol 9, Pp 12943-12954 (2021)
Multi-access edge computing (MEC) can improve the users’ computational capacity and battery life by moving computing services to the network edge. In addition, data-content caching on a MEC server improves the user quality of experience and decreas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aa60ed537e78e641b04d2b35f239186
https://ieeexplore.ieee.org/document/9321325/
https://ieeexplore.ieee.org/document/9321325/
Autor:
Luan N. T. Huynh, Eui-Nam Huh
Publikováno v:
2022 6th International Conference on Computing Methodologies and Communication (ICCMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18b43c49d4e60932a0f629b80a341ed5
https://doi.org/10.1109/iccmc53470.2022.9753892
https://doi.org/10.1109/iccmc53470.2022.9753892