Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

Fog/Edge computing emerges as a novel computing paradigm that harnesses resources in
the proximity of the Internet of Things (IoT) devices so that, alongside with the cloud servers …

With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …

With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …

Typical cloud systems are often prone to inherent wide area network (WAN) latency. To
address this issue fog computing is proposed that enables resource-constrained Internet-of …

Multi-access edge computing (MEC) has formed a major improvement in the existing mobile
cloud computing paradigm, due to its ability in addressing the rising number of latency …

Over the past decade, there has been an increasing demand for mobile devices to perform
computationally intensive tasks. However, the computational capability of these devices is …

Embodied vision-based real-world systems, such as mobile robots, require a careful
balance between energy consumption, compute latency, and safety constraints to optimize …

The rapid advancement of mobile edge computing (MEC) has revolutionized the distributed
computing landscape. With the help of MEC, the traditional centralized cloud computing …