Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

Edge computing is promoted to meet increasing performance needs of data‐driven services
using computational and storage resources close to the end devices at the edge of the …

Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and
Communication technologies. The purpose of the IoT is to provide seamless services to …

The constant and fast increase in the number of heterogeneous Internet of Things (IoT)
devices that populate everyday life environments brings new challenges to the full …

The unabated flurry of research activities to augment various mobile devices in terms of
compute‐intensive task execution by leveraging heterogeneous resources of available …

The rapid growth of todays IT demands reflects the increased use of cloud data centers.
Reducing computational power consumption in cloud data center is one of the challenging …

Despite the rapid growth of hardware capacity and popularity in mobile devices, limited
resources in battery and processing capacity still lack the ability to meet increasing mobile …

In the cloud computing environment, scheduling algorithms show the vital role of finding a
possible schedule of the tasks. Extant literatures have shown that the task scheduling …

Abstract In the Internet of Things (IoT) arena, a constant evolution is observed towards the
deployment of integrated environments, wherein heterogeneous devices pool their …

Mobile Ad Hoc Cloud (MAC) enables the use of a multitude of proximate resource-rich
mobile devices to provide computational services in the vicinity. However, inattention to …