With the evolutionary development of latency sensitive applications, delay restriction is
becoming an obstacle to run sophisticated applications on mobile devices. Partial …

Offloading computation intensive applications to mobile cloud is promising for overcoming
the problems of limited computational resources and energy of mobile devices. However …

Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Nowadays, billions of Internet of Things (IoT) devices arise around us running complex and
computation-intensive applications. Due to the limited resources of the IoT devices, it is …

This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …

The mobile edge computation offloading (MECO) system has emerged as a promising
technology to address several problematic issues in cloud computing such as data …

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 …

Mobile edge computing (MEC) is emerging as a cornerstone technology to address the
conflict between resource-constrained smart devices (SDs) and the ever-increasing …

In this paper, we study the joint computation offloading and resource allocation problem
exploiting computing resources from both mobile edge cloud and mobile peers. Our design …

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 …