Abstract Mobile Edge Computing (MEC) is a modern paradigm that involves moving
computing and storage resources closer to the network edge, reducing latency, and …

Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …

Abstract Mobile Cloud Computing (MCC) integrates cloud computing into the mobile
environment, effectively tackling performance, environmental, and security constraints …

One of the missions of mobile edge computing (MEC) is to develop innovative applications
in closer proximity while preserving latency constraints. Integration of MEC with the …

IoT-based smart transportation monitors vehicles, cargo, and driver statuses for safe
movement. Due to the limited computational capabilities of the sensors, the IoT devices …

With the increasing popularity of the Internet of Things (IoT), the proliferation of computation-
intensive and timing-dependent applications has brought serious load pressure on …

Cloud-edge-end (CEE) computing is a hybrid computing paradigm that converges the
principles of edge and cloud computing. In the design of CEE systems, a crucial challenge is …

Cloud computing and its derivatives, such as fog and edge computing, have propelled the
IoT era, integrating AI and deep learning for process automation. Despite transformative …

Mobile edge computing (MEC) seems to be highly efficient to process the generated data
from IoT devices by providing computational resources locating in close range to network …

In a network environment composed of different types of computing centers that can be
divided into different layers (clod, edge layer, and others), the interconnection between them …