The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

In recent years, the growth rate of Cloud computing technology is increasing exponentially,
mainly for its extraordinary services with expanding computation power, the possibility of …

In vehicular edge computing, network performance and computing resources dynamically
change, and vehicles should find the optimal strategy for offloading their tasks to servers to …

In recent years, the need for computation-intensive applications in mobile networks requiring
more storage, powerful processors, and real-time responses has risen substantially …

Serverless computing offers a promising deployment model for edge IoT applications.
However, serverless functions that rely on large libraries suffer from severe library loading …

Edge computing applications leverage advances in edge computing along with the latest
trends of convolutional neural networks in order to achieve ultra-low latency, high-speed …

Federated Learning has attracted widespread attention in recent years because it allows
massive edge nodes to collaboratively train machine learning models without sharing their …

The existence of Mobile Edge Computing (MEC) provides a novel and great opportunity to
enhance user quality of service (QoS) by enabling local communication. The 5th generation …

Abstract The Internet of Vehicles (IoV) technology is progressively maturing because of the
growth of private cars and the establishment of intelligent transportation systems. The …

In view of the problems of insufficient data collection and processing capability of
multisource heterogeneous equipment, and low visibility of equipment status at the ship …