Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment

DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

Dynamic service placement in multi-access edge computing: A systematic literature review

HT Malazi, SR Chaudhry, A Kazmi, A Palade… - IEEE …, 2022 - ieeexplore.ieee.org
The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

Cost minimization-oriented computation offloading and service caching in mobile cloud-edge computing: An A3C-based approach

H Zhou, Z Wang, H Zheng, S He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …

Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems

Z Xue, C Liu, C Liao, G Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …

Reconfigurable intelligent surface-assisted secure mobile edge computing networks

S Mao, L Liu, N Zhang, M Dong, J Zhao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been recognized as a viable technology to satisfy low-
delay computation requirements for resource-constrained Internet of things (IoT) devices …

DRL-based resource allocation for computation offloading in IoV networks

B Hazarika, K Singh, S Biswas… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the dynamic nature of a vehicular fog computing environment, efficient real-time
resource allocation in an Internet of Vehicles (IoV) network without affecting the quality of …

A survey on integrated computing, caching, and communication in the cloud-to-edge continuum

A Maia, A Boutouchent, Y Kardjadja, M Gherari… - Computer …, 2024 - Elsevier
Cloud and edge computing have proposed different functionalities to enable multiple
applications requiring different communication, computing, and caching (3C) resources. The …

Deep reinforcement learning approach for computation offloading in blockchain-enabled communications systems

T Alam, A Ullah, M Benaida - Journal of Ambient Intelligence and …, 2023 - Springer
Blockchain and deep reinforcement learning (DRL) are two separate transaction systems
committed to the credibility and usefulness of system functionality. There is rapid growth …

[HTML][HTML] Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective

MA Naeem, YB Zikria, R Ali, U Tariq, Y Meng… - Digital Communications …, 2023 - Elsevier
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …

Dynamic task offloading and service caching based on game theory in vehicular edge computing networks

C Cheng, L Zhai, X Zhu, Y Jia, Y Li - Computer Communications, 2024 - Elsevier
Vehicular edge computing (VEC) enables task offloading from vehicle to edge servers
deployed on Road Side Units (RSUs) and to vehicle with idle resources, which is …