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Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …
computational power and storage capacity provided by cloud, edge, and fog computing …
Classification of resource management approaches in fog/edge paradigm and future research prospects: A systematic review
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 …
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
[HTML][HTML] Energy-SLA-aware genetic algorithm for edge–cloud integrated computation offloading in vehicular networks
Abstract Vehicular Ad Hoc Networks (VANET) is an emerging technology that enables a
comfortable, safe, and efficient travel experience by providing mechanisms to execute …
comfortable, safe, and efficient travel experience by providing mechanisms to execute …
[Retracted] Machine Learning‐Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks
This paper presents an in‐depth study and analysis of offloading strategies for lightweight
user mobile edge computing tasks using a machine learning approach. Firstly, a scheme for …
user mobile edge computing tasks using a machine learning approach. Firstly, a scheme for …
A survey on offloading in federated cloud-edge-fog systems with traditional optimization and machine learning
The huge amount of data generated by the Internet of things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …
computational power and storage capacity provided by cloud, edge, and fog computing …
DECO: A deadline-aware and energy-efficient algorithm for task offloading in mobile edge computing
With the rapid development in the area of Internet of Things (IoT), the number of delay-
sensitive and power-hungry IoT applications has drastically increased over the past few …
sensitive and power-hungry IoT applications has drastically increased over the past few …
Enhancing smart city IoT communication: A two-layer NOMA-based network with caching mechanisms and optimized resource allocation
With advancements in next-generation communication systems, large-scale Internet of
Things device (IoTDs) deployments in smart cities face challenges like limited bandwidth …
Things device (IoTDs) deployments in smart cities face challenges like limited bandwidth …
Integrated trajectory optimization for UAV-enabled wireless powered MEC system with joint energy consumption and AoI minimization
Y Li, H Ding, Z Yang, B Li, Z Liang - Computer Networks, 2024 - Elsevier
This paper studies an unmanned aerial vehicle (UAV)-enabled wireless powered mobile
edge computing (MEC) system, where a UAV, equipped with RF Chains and MEC servers …
edge computing (MEC) system, where a UAV, equipped with RF Chains and MEC servers …
Microservice instances selection and load balancing in fog computing using deep reinforcement learning approach
Fog-native computing is an emerging paradigm that makes it possible to build flexible and
scalable Internet of Things (IoT) applications using microservice architecture at the network …
scalable Internet of Things (IoT) applications using microservice architecture at the network …
Deadline-aware heuristics for reliability optimization in ubiquitous mobile edge computing
With the advent of affordable and widely accessible broadband and mobile internet, there
has been a significant surge in user demand. These demands, especially when considering …
has been a significant surge in user demand. These demands, especially when considering …