The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

ABSTRACT The Internet of Things (IoT) generates countless amounts of data, much of which
is processed in cloud data centers. When data is transferred to the cloud over longer …

The IoT has connected a vast number of devices on a massive internet scale. With the rapid
increase in devices and data, offloading tasks from IoT devices to remote Cloud data centers …

The ever-increasing growth of the number of Internet of Things (IoT) devices connected to
the network has led to the emergence of cloud computing shortcomings such as delay …

Today, fog computing is an emerging technology to support resource-constrained Internet of
Things (IoT) applications. The scalability, geographic distribution, and heterogeneity of edge …

A decentralized service placement policy plays a key role in distributed systems, such as fog
computing, where sharing workloads fairly among active computing nodes is critical. A …

The advent of 6G-enabled networks marks a transformative era in the Internet of Things
(IoT), promising unparalleled connectivity and innovation. These networks are set to …

Trusted online credential management solutions are needed for instant and practical
verification. Most of the available frameworks targeting this field violate the privacy of end …

Abstract Although Quality of Service (QoS) and cost reduction are the main achievement of
using resource rich cloud computing in IoT environments, the centralized architecture of …