Multi-objective parallel task offloading and content caching in D2D-aided MEC networks

Z **ao, J Shu, H Jiang, JCS Lui, G Min… - IEEE Transactions …, 2022‏ - ieeexplore.ieee.org
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …

Cost optimization in edge computing: a survey

L Cao, T Huo, S Li, X Zhang, Y Chen, G Lin… - Artificial Intelligence …, 2024‏ - Springer
The edge computing paradigm is becoming increasingly commercialized due to the
widespread adoption of wireless communication technologies and the growing demand for …

A cost and energy efficient task scheduling technique to offload microservices based applications in mobile cloud computing

A Ali, MM Iqbal - IEEE Access, 2022‏ - ieeexplore.ieee.org
The number of smartphone users and mobile devices has increased significantly. The
Mobile Cloud Applications based on cloud computing have also been increased. The …

DRL connects Lyapunov in delay and stability optimization for offloading proactive sensing tasks of RSUs

W Zhao, K Shi, Z Liu, X Wu, X Zheng… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
The integration of Roadside Units (RSUs) is vital for the development of autonomous driving
technologies. Challenges arise from sinking computing capabilities into RSUs and vehicles …

Joint online optimization of data sampling rate and preprocessing mode for edge–cloud collaboration-enabled industrial IoT

Y Shi, C Yi, B Chen, C Yang, K Zhu… - IEEE Internet of Things …, 2022‏ - ieeexplore.ieee.org
Edge–cloud collaboration is critical in the Industrial Internet of Things (IIoT) for serving
computation-intensive tasks (eg, bearing fault monitoring) that require low-response delay …

An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications

M ul Hassan, AA Al-Awady, A Ali, MM Iqbal… - Pervasive and Mobile …, 2023‏ - Elsevier
The use of smartphones and mobile devices has increased significantly, as have Mobile
Cloud Applications based on cloud computing. These applications are used in various …

Cost-Minimized computation offloading and user association in hybrid cloud and edge computing

J Bi, Z Wang, H Yuan, J Zhang… - IEEE Internet of Things …, 2024‏ - ieeexplore.ieee.org
Smart mobile devices (SMDs) are integral for running advanced applications that demand
significant computing resources and quick response time, eg, immersive gaming and …

ELECT: Energy-efficient intelligent edge–cloud collaboration for remote IoT services

J Yuan, H **ao, Z Shen, T Zhang, J ** - Future Generation Computer …, 2023‏ - Elsevier
Existing centralized cloud-based solution is challenging to cope with the explosive growth of
data generated from massive IoT devices to meet the requirements of critical services …

UAV-assisted Multi-access Edge Computing with Altitude-dependent Computing Power

Y Deng, H Zhang, X Chen… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
In unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC) systems,
where UAVs act as aerial relays to forward tasks from ground users (GUs) to remote edge …

[HTML][HTML] Artificial Intelligence, Internet of things and 6G methodologies in the context of Vehicular Ad-hoc Networks (VANETs): Survey

B Saoud, I Shayea, AE Yahya, ZA Shamsan… - ICT Express, 2024‏ - Elsevier
Recent developments in the fields of communications, smart transportation systems and
computer systems have significantly expanded the potential for intelligent solutions in the …