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Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
Intelligent delay-aware partial computing task offloading for multiuser industrial Internet of Things through edge computing
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …
Privacy-preserving offloading scheme in multi-access mobile edge computing based on MADRL
G Wu, X Chen, Z Gao, H Zhang, S Yu, S Shen - Journal of Parallel and …, 2024 - Elsevier
With the development of industrialization and intelligence, the Industrial Internet of Things
(IIoT) has gradually become the direction for traditional industries to transform into modern …
(IIoT) has gradually become the direction for traditional industries to transform into modern …
PPO2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems
AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
Ai-based mobile edge computing for iot: Applications, challenges, and future scope
New technology is needed to meet the latency and bandwidth issues present in cloud
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …
Collaborative service placement, task scheduling, and resource allocation for task offloading with edge-cloud cooperation
W Fan, L Zhao, X Liu, Y Su, S Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In an edge-cloud cooperative computing network, the task offloading performance can be
further improved by the edge-cloud and edge-edge cooperation, in which the tasks can be …
further improved by the edge-cloud and edge-edge cooperation, in which the tasks can be …
Edge intelligence: Federated learning-based privacy protection framework for smart healthcare systems
Federated learning methods offer secured monitor services and privacy-preserving
paradigms to end-users and organisations in the Internet of Things networks such as smart …
paradigms to end-users and organisations in the Internet of Things networks such as smart …
Diagnosis of skin diseases in the era of deep learning and mobile technology
E Goceri - Computers in Biology and Medicine, 2021 - Elsevier
Efficient methods developed with deep learning in the last ten years have provided
objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate …
objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate …
IoMT-enabled real-time blood glucose prediction with deep learning and edge computing
Blood glucose (BG) prediction is essential to the success of glycemic control in type 1
diabetes (T1D) management. Empowered by the recent development of the Internet of …
diabetes (T1D) management. Empowered by the recent development of the Internet of …