AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

Energy efficiency on fully cloudified mobile networks: Survey, challenges, and open issues

A Alnoman, GHS Carvalho… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Fully cloudified mobile network infrastructure, which is featured by the joint deployment of
heterogeneous cloud radio access networks and edge computing, will successfully cope …

UbiPriSEQ—Deep reinforcement learning to manage privacy, security, energy, and QoS in 5G IoT hetnets

T Mohammed, A Albeshri, I Katib, R Mehmood - Applied Sciences, 2020 - mdpi.com
5G networks and Internet of Things (IoT) offer a powerful platform for ubiquitous
environments with their ubiquitous sensing, high speeds and other benefits. The data …

Towards mobile edge computing: Taxonomy, challenges, applications and future realms

J Qadir, B Sainz-De-Abajo, A Khan… - Ieee …, 2020 - ieeexplore.ieee.org
The realm of cloud computing has revolutionized access to cloud resources and their
utilization and applications over the Internet. However, deploying cloud computing for delay …

Aura: An incentive-driven ad-hoc IoT cloud framework for proximal mobile computation offloading

R Hasan, M Hossain, R Khan - Future Generation Computer Systems, 2018 - Elsevier
The rapid growth of mobile applications requires enhanced computational resources in
order to ensure better performance, security, and usability. In recent years, the proliferation …

Resource optimization scheduling and allocation for hierarchical distributed cloud service system in smart city

J Li - future generation computer systems, 2020 - Elsevier
With the support of 5G system, the hierarchical distributed cloud service network model
(HDCSN) is proposed. The model consists of three levels: Access Cloud+ Distributed Micro …

Utility maximisation for resource allocation of migrating enterprise applications into the cloud

S Li, W Sun - Enterprise Information Systems, 2021 - Taylor & Francis
Cloud computing has attracted many enterprises to migrate or deploy their applications into
the cloud platform so as to reduce their operational costs. In this paper, we investigate the …

Joint energy and latency optimization for upstream IoT offloading services in fog radio access networks

DN Vu, NN Dao, Y Jang, W Na… - Transactions on …, 2019 - Wiley Online Library
Recently, the emergence of fog computing and big internet of things (IoT) data have been
considered as the main representatives identifying fifth‐generation mobile networks. In fifth …

Adapting deep learning for content caching frameworks in device-to-device environments

R Bajpai, S Chakraborty, N Gupta - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Recently, we have witnessed an expeditious growth in the intelligence and processing
ability of user equipment accompanied by the explosive increase of wireless data and traffic …

Multi-criteria decision analysis methods in the mobile cloud offloading paradigm

H Bangui, M Ge, B Buhnova, S Rakrak… - Journal of Sensor and …, 2017 - mdpi.com
Mobile cloud computing (MCC) is becoming a popular mobile technology that aims to
augment local resources of mobile devices, such as energy, computing, and storage, by …