Task allocation in edge computing refers to the process of distributing tasks among the
various nodes in an edge computing network. The main challenges in task allocation …

Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor
data at a very high pace, making it a challenge to collect and store the data. This scenario …

In a hierarchical edge‐fog‐cloud architecture, edge devices possess limited resources and
energy. To contain with, it can offload some tasks generated by the Internet of Things (IoT) to …

Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

How to make Chinese traditional culture shine again has become the focus of our research.
The emergence of the metaverse has led to further development of Virtual Reality (VR) …

This paper designs a many-objective optimized edge and terminal collaborative
computation offloading (MaOETCCO) model to give full play to the performance advantages …

Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …

Virtualization of resources has been adopted in different environments such as wireless
sensor networks (WSN), 5G networks, Fog computing, Internet of Things (IoT), and …

The rapid increase in the number of mobile users in mobile cloud computing (MCC), the
cloud servers' remoteness, and the Internet loading have caused significant delays in the …