[Retracted] Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues

M Maray, J Shuja - Mobile Information Systems, 2022 - Wiley Online Library
Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …

[HTML][HTML] A review of optimization methods for computation offloading in edge computing networks

K Sadatdiynov, L Cui, L Zhang, JZ Huang… - Digital Communications …, 2023 - Elsevier
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …

UAV-assisted task offloading in vehicular edge computing networks

X Dai, Z **ao, H Jiang, JCS Lui - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

A blockchain-based scheme for secure data offloading in healthcare with deep reinforcement learning

Q He, Z Feng, H Fang, X Wang, L Zhao… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread popularity of the Internet of Things and various intelligent medical
devices, the amount of medical data is rising sharply, and thus medical data processing has …

Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning

L Ale, N Zhang, X Fang, X Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …

Cooperative computation offloading and resource allocation for blockchain-enabled mobile-edge computing: A deep reinforcement learning approach

J Feng, FR Yu, Q Pei, X Chu, J Du… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is a promising paradigm to improve the quality of
computation experience of mobile devices because it allows mobile devices to offload …

Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things

Y Chen, Z Liu, Y Zhang, Y Wu, X Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, driven by the rapid development of smart mobile equipments and 5G network
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …

Efficient dependent task offloading for multiple applications in MEC-cloud system

J Liu, J Ren, Y Zhang, X Peng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the proliferation of versatile mobile applications, offloading compute-intensive tasks to
the MEC/Cloud becomes a dramatic technique due to the limited resources and high user …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …

Profit-aware edge server placement

Y Li, A Zhou, X Ma, S Wang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In a 5G network, mobile-edge computing (MEC) plays a key role in providing low access
delay services. The placement of edge servers not only determines the quality of services on …