Due to the complex environment and variable demands, unmanned surface vessel (USV)
task assignment and path planning have received much attention from academia and …

Abstract Internet of Things (IoT) is made up with growing number of facilities, which are
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …

Joint task inference, which fully utilizes end edge cloud cooperation, can effectively enhance
the performance of deep neural network (DNN) inference services in the industrial internet of …

Industrial Internet mobile edge computing (MEC) deploys edge servers near base stations to
bring computing resources to the edge of industrial networks to meet the energy-saving …

As cloud computing continues to evolve, the need for efficient and secure management of
virtual machine (VM) migrations has become increasingly evident. Traditional models often …

At a significant moment in the rapid development of cloud technology, large-scale cloud
computing centers have emerged. With the emergence of the internet and artificial …

The Internet of Things (IoT) and real-time media streaming have increased due to the rapid
development of wireless communication technologies and the enormous growth of …

Abstract As Cloud-Edge architecture combines low latency and high-performance
computing, it has a wider range of application scenarios. Considering that, how to …

Offloading techniques are considered one of the key enablers of deep neural network (DNN)-
based artificial intelligence (AI) services on end devices with limited computing resources …

Ship optimization scheduling, using deep reinforcement learning (DRL), has been
extensively researched and implemented. Notably, the deep Q-learning algorithm (DQN) …