Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

Mobile edge computing (MEC) raises a variety of new challenges for app vendors, including
the Edge User Allocation (EUA) problem. EUA aims to allocate as many app users as …

Artificial intelligence (AI) plays a key role in the distribution automation system (DAS). By
using artificial intelligence technology, it is possible to intelligently verify and monitor …

Abstract As the Internet of Things (IoT) evolves and is integrated into cutting-edge Smart
Vertical Networks-based IoT, a plethora of IoT mobile devices (IMD) must contend with the …

Edge Computing (EC) enables a new kind of caching system in close geographic proximity
to end-users by allowing app vendors to cache popular data on edge servers deployed at …

The seamless and ubiquitous wireless access is crucial to the immersive experiences in the
metaverse. Considering the limited communication and computing resources, how to …

As a new paradigm of distributed computing, mobile edge computing (MEC) has gained
increasing attention due to its ability to expand the capabilities of centralized cloud …

The rise of 5G technology has driven the development of edge computing. Computation
offloading is the key and challenging point in edge computing, which investigates offloading …

Abstract Network Function Virtualization (NFV) aims to replace traditional network functions
running in proprietary hardware with software instances (ie, Virtual Network Functions …

Cloud-edge systems are important Emergency Demand Response (EDR) participants that
help maintain power grid stability and demand-supply balance. However, as users are …