Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …

In recent years, novel mobile applications such as augmented reality, virtual reality, and
three‐dimensional gaming, running on handy mobile devices have been pervasively …

Abstract Proliferation of Industrial Internet has dramatically changed the way we live and
work. It brings convenience to our society and sometimes requires real-time processing of …

Computation offloading has proven to be an effective method for facilitating resource-
intensive tasks on IoT mobile edge nodes with limited processing capabilities. Additionally …

Computation-intensive and time-delay-sensitive tasks show explosive growth, which makes
mobile user devices put forward higher requirements for such tasks. Mobile user devices are …

We consider the problem of resource allocation, pricing and application caching for latency
sensitive task offloading in serverless edge computing. We model the interaction between a …

Mobile edge computing (MEC) is a burgeoning paradigm that MEC servers provide the
computing capabilities to release the workload of the mobile devices by transferring the …

In today's era, Internet of Things (IoT) devices generate a vast amount of data, which is
typically stored in the cloud environment and can be accessed by edge and IoT devices. The …

Motivated by the emergence of function-as-a-service (FaaS) as a programming abstraction
for edge computing, we consider the problem of caching and pricing applications for edge …

In this paper, we propose an adaptive vehicle clustering algorithm based on fuzzy C-means
algorithm, which aims at minimizing power consumption of the vehicles. Specifically, the …