With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …

Even though cloud computing offers many advantages, it can be a poor choice sometimes
because of its slow response to existing requests, leading to the need for fog computing …

With the evolution towards the interconnected future internet spanning satellites, aerial
systems, terrestrial infrastructure, and oceanic networks, availability modeling becomes …

This article describes the design, development and implementation of a set of microservices
based on an architecture that enables detection and assisted clinical diagnosis within the …

To meet increasingly restrictive requirements and improve quality of service (QoS), Internet
of Things (IoT) systems have embraced multi-layered architectures leveraging edge and fog …

The emerging computing paradigms like mobile cloud, mobile edge computing, fog
computing, AI, and 5G provide the scope to advance mobile learning (m-learning) …

This book provides insights into how to approach and utilise data science tools,
technologies, and methodologies related to artificial intelligence (AI) in industrial contexts. It …

There is growing attention to energy efficiency in the software engineering field. This has
been driven by modern technologies, for example, Internet of Things (IoT), Social …

The massive increase in development, deployment and usage of IoT has given rise to smart
cities. These smart city devices have the ability to perform communications on their own …

Mobile learning (m‐learning) adoption has increased and shall be demonstrated superior
performance by implementing related computing paradigms, such as IoT, edge, mobile …