The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …

Internet of Vehicles (IoV) has attracted global research interests across extensive
applications. Due to the significant increase in the number of vehicles accessing the Internet …

With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoT), we have
to perform increasingly more resource-hungry and compute-intensive applications on IoT …

Abstract A Content Delivery Network (CDN) consists of a distributed infrastructure of proxy
servers designed to deliver digital content to end users effectively. CDNs have gained …

With the rapid proliferations of maritime applications, the data demands of unmanned
surface vehicles (USVs) keep ever-increasing. However, due to limitations of resources (eg …

With the development of 5G and mobile edge computing, deep neural network (DNN)
inference can be distributed at the edge to reduce communication overhead and inference …

Edge caching is a widely adopted technique for improving network performance and user
experience. To optimize its benefits, researchers are exploring the use of recommendation …

Fault management systems that use real-time analytics based on Machine Learning (ML)
help provide the reliability required in edge clouds, though they suffer from frequent changes …

High-definition (HD) map caching at roadside units (RSUs) is an important component of
localization for self-driving vehicles, HD map content delivery services must be efficient for …