Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Survey on intelligence edge computing in 6G: Characteristics, challenges, potential use cases, and market drivers
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks
and beyond. IEC is considered to be a promising backbone of future services and wireless …
and beyond. IEC is considered to be a promising backbone of future services and wireless …
Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms
IA Elgendy, WZ Zhang, H He, BB Gupta… - Wireless …, 2021 - Springer
Computation offloading at mobile edge computing (MEC) servers can mitigate the resource
limitation and reduce the communication latency for mobile devices. Thereby, in this study …
limitation and reduce the communication latency for mobile devices. Thereby, in this study …
Secure and optimized load balancing for multitier IoT and edge-cloud computing systems
Mobile-edge computing (MEC) has emerged as a new computing paradigm with great
potential to alleviate resource limitations attributed to mobile device users (MDUs) by …
potential to alleviate resource limitations attributed to mobile device users (MDUs) by …
[HTML][HTML] A smart healthcare recommendation system for multidisciplinary diabetes patients with data fusion based on deep ensemble learning
The prediction of human diseases precisely is still an uphill battle task for better and timely
treatment. A multidisciplinary diabetic disease is a life-threatening disease all over the world …
treatment. A multidisciplinary diabetic disease is a life-threatening disease all over the world …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
A survey and taxonomy on task offloading for edge-cloud computing
Edge-cloud computing, combining the benefits of both edge computing and cloud
computing, is one of the most promising ways to address the resource insufficiency of smart …
computing, is one of the most promising ways to address the resource insufficiency of smart …
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 …
[HTML][HTML] Optimizing task offloading energy in multi-user multi-UAV-enabled mobile edge-cloud computing systems
With the emergence of various new Internet of Things (IoT) devices and the rapid increase in
the number of users, enormous services and complex applications are growing rapidly …
the number of users, enormous services and complex applications are growing rapidly …
Multi-agent drl-based hungarian algorithm (madrlha) for task offloading in multi-access edge computing internet of vehicles (iovs)
MZ Alam, A Jamalipour - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper investigates the computation offloading problem in a high mobility internet of
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …