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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 …
things (IoT) devices to support time-sensitive and computationally intensive applications …
Dynamic service placement in multi-access edge computing: A systematic literature review
The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …
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
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 …
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
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …
performance by introducing both computation offloading and service caching, to resource …
Reconfigurable intelligent surface-assisted secure mobile edge computing networks
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 …
delay computation requirements for resource-constrained Internet of things (IoT) devices …
DRL-based resource allocation for computation offloading in IoV networks
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 …
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
Cloud and edge computing have proposed different functionalities to enable multiple
applications requiring different communication, computing, and caching (3C) resources. The …
applications requiring different communication, computing, and caching (3C) resources. The …
Deep reinforcement learning approach for computation offloading in blockchain-enabled communications systems
Blockchain and deep reinforcement learning (DRL) are two separate transaction systems
committed to the credibility and usefulness of system functionality. There is rapid growth …
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
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …
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 …
deployed on Road Side Units (RSUs) and to vehicle with idle resources, which is …