Classification of resource management approaches in fog/edge paradigm and future research prospects: A systematic review

P Kansal, M Kumar, OP Verma - The Journal of Supercomputing, 2022 - Springer
The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

Qoe-aware decentralized task offloading and resource allocation for end-edge-cloud systems: A game-theoretical approach

Y Chen, J Zhao, Y Wu, J Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Distributed task offloading and resource purchasing in noma-enabled mobile edge computing: Hierarchical game theoretical approaches

Y Chen, J Zhao, J Hu, S Wan, J Huang - ACM Transactions on …, 2024 - dl.acm.org
As the computing resources and the battery capacity of mobile devices are usually limited, it
is a feasible solution to offload the computation-intensive tasks generated by mobile devices …

A distributed game theoretical approach for credibility-guaranteed multimedia data offloading in MEC

Y Chen, J Zhao, X Zhou, L Qi, X Xu, J Huang - Information Sciences, 2023 - Elsevier
Due to the limited resources of Internet of Things (IoT) devices, the multimedia application
data generated by IoT devices can be offloaded to edge servers for processing. In this …

Data, user and power allocations for caching in multi-access edge computing

X **a, F Chen, Q He, G Cui, JC Grundy… - … on Parallel and …, 2021 - ieeexplore.ieee.org
In the multi-access edge computing (MEC) environment, app vendors' data can be cached
on edge servers to ensure low-latency data retrieval. Massive users can simultaneously …

Cooperative assurance of cache data integrity for mobile edge computing

B Li, Q He, F Chen, H Dai, H **… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The new mobile edge computing (MEC) paradigm fundamentally changes the data caching
technique by allowing data to be cached on edge servers attached to base stations within …

Cost-effective user allocation in 5G NOMA-based mobile edge computing systems

P Lai, Q He, G Cui, F Chen, J Grundy… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) allows edge servers to be placed at cellular base stations.
App vendors like Uber and YouTube can rent computing resources and deploy latency …

Efficient verification of edge data integrity in edge computing environment

G Cui, Q He, B Li, X **a, F Chen, H **… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The new edge computing paradigm extends cloud computing by allowing service vendors to
deploy their service instances and data on distributed edge servers to serve their service …

OL-EUA: Online user allocation for NOMA-based mobile edge computing

G Cui, Q He, X **a, F Chen, F Dong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) raises a variety of new challenges for app vendors, including
the Edge User Allocation (EUA) problem. EUA aims to allocate as many app users as …

Demand response in NOMA-based mobile edge computing: A two-phase game-theoretical approach

G Cui, Q He, X **a, F Chen, T Gu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC), as a key technology that facilitates 5G networks, provides a
new and prospective mobile computing paradigm that allows the deployment of edge …