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 …

There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …

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

Intelligent task placement and management of tasks in large-scale fog platforms is
challenging due to the highly volatile nature of modern workload applications and sensitive …

With the rapid development of Internet of Things (IoT) technologies, fog computing has
emerged as an extension to the cloud computing that relies on fog nodes with distributed …

In cloud computing environments, when a client wants to access any resources, hardware
components, or application services, he needs to get a subscription for the same from …

Serverless computing has become an important cloud model delivering service to users
based on the amount of resources consumed by the Internet of Things (IoT) applications …

In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …