Computation offloading is a promising solution for resource-limited IoT devices to
accomplish computation-intensive tasks. In order to promote the service trading between …

IoT-based services benefit from cloud which offers a virtually unlimited capabilities, such as
storage, processing, and communication. However, the challenges are still open for mobile …

To support popular Internet of Things (IoT) applications such as virtual reality and mobile
games, edge computing provides a front-end distributed computing archetype of centralized …

In this article, we investigate resource allocation with edge computing in Internet-of-Things
(IoT) networks via machine learning approaches. Edge computing is playing a promising …

The emerging mobile-edge computing paradigm provides opportunities for the resource-
hungry mobile devices (MDs) to migrate computation. In order to satisfy the requirements of …

The rapid proliferation of latency-sensitive Internet of Things (IoT) applications boosts the
frequency of offloading compute-intensive tasks from IoT users to mobile edge computing …

As a promising paradigm, computation offloading technology can offload computing tasks to
multi-access edge computing (MEC) servers, which is an appealing choice for resource …

Enabling cloud–edge collaboration to Internet of Things (IoT) systems can better satisfy the
application requirements of mobile devices (MDs). In the environments where cloud service …

Nowadays, IoT systems can better satisfy the service requirements of users with effectively
utilizing edge computing resources. Designing an appropriate pricing scheme is critical for …

In recent years, we have witnessed the compelling application of the Internet of Things (IoT)
in our daily life, ranging from daily living to industrial production. On account of the …