A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …
popularity. While there exist lite versions of the Metaverse today, they are still far from …
Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities
To enable large-scale and ubiquitous automotive network access, traditional vehicle-to-
everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing …
everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing …
A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
H Xu, Z Sun, Y Cao, H Bilal - Soft Computing, 2023 - Springer
Cyber-attacks and network intrusion have surfaced as major concerns for modern days
applications of the Internet of Things (IoT). The existing intrusion detection and prevention …
applications of the Internet of Things (IoT). The existing intrusion detection and prevention …
Dynamic task offloading for mobile edge computing with hybrid energy supply
Y Chen, F Zhao, Y Lu, X Chen - Tsinghua Science and …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC), as a new distributed computing model, satisfies the low
energy consumption and low latency requirements of computation-intensive services. The …
energy consumption and low latency requirements of computation-intensive services. The …
EEDTO: An energy-efficient dynamic task offloading algorithm for blockchain-enabled IoT-edge-cloud orchestrated computing
With the proliferation of compute-intensive and delay-sensitive mobile applications, large
amounts of computational resources with stringent latency requirements are required on …
amounts of computational resources with stringent latency requirements are required on …
Delay-aware microservice coordination in mobile edge computing: A reinforcement learning approach
As an emerging service architecture, microservice enables decomposition of a monolithic
web service into a set of independent lightweight services which can be executed …
web service into a set of independent lightweight services which can be executed …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
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 …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
Collaborate edge and cloud computing with distributed deep learning for smart city internet of things
City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …
require large amounts of computational resources and strict latency requirements. Mobile …
Lyapunov-guided delay-aware energy efficient offloading in IIoT-MEC systems
H Wu, J Chen, TN Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the increasingly humanized and intelligent operation of Industrial Internet of Things
(IIoT) systems in Industry 5.0, delay-sensitive and compute-intensive (DSCI) devices have …
(IIoT) systems in Industry 5.0, delay-sensitive and compute-intensive (DSCI) devices have …