Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …

Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

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 …

The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

Applying federated learning (FL) on Internet of Things (IoT) devices is necessitated by the
large volumes of data they produce and growing concerns of data privacy. However, there …

With the wide adoption of 5G technology and the rapid development of 6G technology, a
variety of new applications have emerged. A multitude of compute-intensive and time …

With the rapid development of cloud computing, edge computing, and smart devices,
computing power resources indicate a trend of ubiquitous deployment. The traditional …

Mobile edge computing (MEC), as a key component in the development of IoT and 5G
technologies, can provide extra computation resources in edge servers for mobile devices to …

Most of the IoT‐based smart systems require low latency and crisp response time for their
applications. Achieving the demand of this high Quality of Service (QoS) becomes quite …

The advancement of technology towards the realization of the evolving mobile computing
paradigm brings a rapid paradigm shift in its usage, especially in the Internet, computation …