AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
Reinforcement learning methods for computation offloading: a systematic review
Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …
applications due to the long distance between end-devices and remote datacenters. In …
A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things
The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …
An Intelligent Proposed Model for Task Offloading in Fog‐Cloud Collaboration Using Logistics Regression
Smart applications and intelligent systems are being developed that are self‐reliant,
adaptive, and knowledge‐based in nature. Emergency and disaster management …
adaptive, and knowledge‐based in nature. Emergency and disaster management …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
Adaptive digital twin for vehicular edge computing and networks
Y Dai, Y Zhang - Journal of Communications and Information …, 2022 - ieeexplore.ieee.org
To better support the emerging vehicular applications and multimedia services, vehicular
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …
Edge-cloud polarization and collaboration: A comprehensive survey for ai
Influenced by the great success of deep learning via cloud computing and the rapid
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …
DDPQN: An efficient DNN offloading strategy in local-edge-cloud collaborative environments
With the rapid development of the Internet of Things (IoT) and communication technology,
Deep Neural Network (DNN) applications like computer vision, can now be widely used in …
Deep Neural Network (DNN) applications like computer vision, can now be widely used in …
Task offloading with multi-tier computing resources in next generation wireless networks
With the development of next-generation wireless networks, the Internet of Things (IoT) is
evolving towards the intelligent IoT (iIoT), where intelligent applications usually have …
evolving towards the intelligent IoT (iIoT), where intelligent applications usually have …
Double deep Q-network based dynamic framing offloading in vehicular edge computing
With the rapid development of Artificial Intelligence (AI) and the Internet of Vehicles (IoV),
there is an increasing demand for deploying various intelligent applications on vehicles …
there is an increasing demand for deploying various intelligent applications on vehicles …