As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

An IoT-enabled cluster of automobiles provides a rich source of computational resources, in
addition to facilitating efficient collaboration with vehicle-to-vehicle and vehicle-to …

The distributed cooperative offloading technique with wireless setting and power
transmission provides a possible solution to meet the requirements of next-generation Multi …

Fog computing is an emerging architectural paradigm for the implementation of the Internet
of Things, where computation moves from cloud servers to network edges. Fog computing …

The ever-increasing computation tasks and communication traffic have imposed a heavy
burden on cloud data centers and also resulted in a significantly high energy consumption …

The property of performing data processing near the source of data (ie, at the edge of the
network) enables fog computing that can effectively reduce computation latency, bandwidth …

With the exponential growth of the data generated by Internet of Things (IoT) devices,
computation offloading becomes a promising method to alleviate the computation burden of …

In data-rich everything connected world, the rapid and green data processing is essential,
especially for some delay-sensitive and computation-intensive tasks. Motivated by these …

In order to effectively extend the lifetime of Internet of Things (IoT) devices, improve the
energy efficiency of task processing, and build a self‐sustaining and green edge computing …