MAP based modeling method and performance study of a task offloading scheme with time-correlated traffic and VM repair in MEC systems
Y Wang, X Han, S Jin - Wireless Networks, 2023 - Springer
Abstract Mobile Edge Computing (MEC) has evolved into a key technology that can
leverage resources of computing, storage and network deployed at the proximity of the …
leverage resources of computing, storage and network deployed at the proximity of the …
Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …
that require a real-time response and low latency have emerged. Fog computing has …
A review of intelligent computation offloading in multiaccess edge computing
H Jin, MA Gregory, S Li - IEEE Access, 2022 - ieeexplore.ieee.org
Multi-Access Edge Computing (MEC) is a standardized architecture that enables cloud
computing capabilities at the edge of heterogeneous networks. The concept is to reduce …
computing capabilities at the edge of heterogeneous networks. The concept is to reduce …
Task offloading in fog computing: A survey of algorithms and optimization techniques
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …
computing in terms of latency and quality of service for time-sensitive applications have led …
[HTML][HTML] A review on offloading in fog-based Internet of Things: Architecture, machine learning approaches, and open issues
There is an exponential increase in the number of smart devices, generating helpful
information and posing a serious challenge while processing this huge data. The processing …
information and posing a serious challenge while processing this huge data. The processing …
Task and resource allocation in the internet of things based on an improved version of the moth-flame optimization algorithm
Abstract The Internet of Things (IoT) technology is used to develop a wide range of
applications and services, including intelligent healthcare systems and virtual reality …
applications and services, including intelligent healthcare systems and virtual reality …
Task offloading in Internet of Things based on the improved multi-objective aquila optimizer
Abstract The Internet of Things (IoT) is a network of tens of billions of physical devices that
are all connected to each other. These devices often have sensors or actuators, small …
are all connected to each other. These devices often have sensors or actuators, small …
[HTML][HTML] Blockchain-based decentralized federated learning method in edge computing environment
S Liu, X Wang, L Hui, W Wu - Applied Sciences, 2023 - mdpi.com
In recent years, federated learning has been able to provide an effective solution for data
privacy protection, so it has been widely used in financial, medical, and other fields …
privacy protection, so it has been widely used in financial, medical, and other fields …
Mobility and security aware real-time task scheduling in fog-cloud computing for IoT devices: a fuzzy-logic approach
This paper aims to improve the overall task processing time of mobile real-time Internet of
Things (IoT) applications in fog-cloud computing, considering the various resource and …
Things (IoT) applications in fog-cloud computing, considering the various resource and …
[HTML][HTML] A multi-layer guided reinforcement learning-based tasks offloading in edge computing
A Robles-Enciso, AF Skarmeta - Computer Networks, 2023 - Elsevier
Abstract The breakthrough in Machine Learning (ML) techniques and the popularity of the
Internet of Things (IoT) has increased interest in applying Artificial Intelligence (AI) …
Internet of Things (IoT) has increased interest in applying Artificial Intelligence (AI) …