Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

Edge computing (EC) has recently emerged as a novel computing paradigm that offers
users low-latency services. Suffering from constrained computing resources due to their …

Edge computing allows app vendors to deploy their applications and relevant data on
distributed edge servers to serve nearby users. Caching data on edge servers can minimize …

Mobile Edge Computing (MEC) is an emerging computing paradigm in which computational
capabilities are pushed from the central cloud to the network edges. However, preserving …

Multi-access Edge Computing (MEC), as an extension of cloud computing, provides storage
resources at the network edge to enable low-latency data retrieval for users. Due to limited …

With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

The emergence of unmanned aerial vehicles (UAVs) extends the mobile edge computing
(MEC) services in broader coverage to offer new flexible and low-latency computing …

Mobile edge computing (MEC) is a promising technique for providing low-latency access to
services at the network edge. The services are hosted at various types of edge nodes with …