Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

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 has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Recent technological breakthroughs and significant expansion in the number of Internet-of-
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …

An intelligent ecosystem with real-time wireless technology is now playing a key role in
meeting the sustainability requirements set by the United Nations. Dairy cattle are a major …

The edge computing paradigm has become extremely popular over the past years, as a
means of offloading computationally intensive tasks by users of resource and battery …

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

The Internet of Things (IoT) is a complex ecosystem of connected devices that exchange
data over a wired or wireless network and whose final aim is to provide services either to …