The energy consumption of Cloud–Edge systems is becoming a critical concern
economically, environmentally, and societally; some studies suggest data centers and …

Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

Provisioning dynamic machine learning (ML) inference as a service for artificial intelligence
(AI) applications of edge devices faces many challenges, including the tradeoff among …

The presence of limitations such as processing and energy in many of end devices has
resulted in task offloading to other sources. To address these limitations, offloading can be …

Mobile edge computing is an emerging computing paradigm in the Internet of Things. Task
offloading is a critical method in mobile edge computing to alleviate computational resource …

Cloud infrastructures are evolving from centralised systems to geographically distributed
federations of edge devices, fog nodes, and clouds-often known as the Cloud-Edge …

Abstract Multi-component Cloud-Edge applications, which rely on the Internet of Things, call
for suitable and sustainable management techniques. On one hand, they have to guarantee …