The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …

In the current scenario, Cloud computing is providing services to IoT-sensor based
applications in task offloading. In time-sensitive real-time applications, latency is a major …

The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Technological evolution of mobile devices, such as smart phones, laptops, wearable and
other handheld devices have come up with the emergence of different user applications in …

The current thinking concerning computations required by Internet of Things (IoT)
applications is shifting toward fog computing instead of cloud computing, thereby achieving …

In recent years, novel mobile applications such as augmented reality, virtual reality, and
three‐dimensional gaming, running on handy mobile devices have been pervasively …

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 …

Summary Internet of Things (IoT) has very remarkable advantages over customary
communication technologies. However, IoT suffers from different issues, such as limited …

Mobile devices (MDs), represented by smartphones, have been widely used in various
industries. However, MDs are constrained by their limited resources and cannot execute …