With the advancement in the development of the Internet of Things (IoT) technology, as well
as the industrial IoT, various applications and services are benefiting from this emerging …

With the growing popularity of Internet of Things (IoT), Mobile Edge Computing (MEC) has
emerged for reducing the heavy workload at the multi-cloud core network by deploying …

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

Due to the limited computing resources and energy of IoT devices, complex computing tasks
are offloaded to sufficient computing servers, such as Cloud Center. However, offloading …

With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoT), we have
to perform increasingly more resource-hungry and compute-intensive applications on IoT …

Mobile edge computing, which enhances the computing power of mobile devices via
computation offloading technology, has been proposed as a promising paradigm to alleviate …

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 …

With the drastic development of Internet of things, the number of connected mobile users
(MUs) is increasing at an unprecedented speed. The increasing popularity of MUs has …

Billions of devices are connected to the Internet of Things (IoT). These devices generate a
large volume of data, which poses an enormous burden on conventional networking …

The high proliferation of mobile devices, deploying a myriad of application, entails an
explosion of mobile traffic. Due to their resource-limitation constraint, mobile devices resort …