Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …

Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

Fog computing is one of the most widely used paradigms for analyzing and computing the
data locally, instead of sending data to remote cloud servers. The main objective of fog …

Technological advances have led to the proliferation of smart home applications, which rely
on sensors. The sensors used in smart home applications generate vast amounts of data …

The evolution in the generations of smart applications has led to great challenges in terms of
providing low latency and high computing efficiency. One of the most important of these …

Recent advancements in Artificial Intelligence (AI) and the Internet of Things (IoT) are
ushering in a transformative era, significantly elevating the quality of human life across …

Fog computing, a distributed computing paradigm, is a powerful technology that contributes
to the achievement of Sustainable Development Goals (SDGs). This chapter explores how …