Industrial automation and control systems are responsible for running our most important
infrastructures, providing electricity and clean water, producing medicine and food, along …

Rapid adoption of machine learning (ML) technologies has led to a surge in power
consumption across diverse systems, from tiny IoT devices to massive datacenter clusters …

Current monitoring tools for high-performance computing (HPC) systems are often inefficient
in terms of scalability and interfacing with modern data center management APIs. This …

Next‐generation cloud data centers are based on software‐defined data center
infrastructures that promote flexibility, automation, optimization, and scalability. The Redfish …

Traditional data center infrastructure suffers from a lack of standard and ubiquitous
management solutions. Despite the achieved advances, existing tools lack interoperability …

Traditional virtualized services are transitioning to containerized services with cloud-native
ones. Additionally, governments have been actively striving to improve energy efficiency to …

A data center infrastructure is composed of heterogeneous resources divided into three
main subsystems: IT (processor, memory, disk, network, etc.), power (generators, power …

Increased network traffic, particularly in the field of mobile telecommunications, companies
are faced to the imperative adapt to meet escalating demands. Addressing strict latency …

Integrating remote monitoring systems is crucial in the ever-changing field of data center
management to enhance performance and guarantee reliability. This paper outlines a …

The demand for computing resources is ever-increasing due to the emergence of new
resource intensive applications like fifth generation (5G) radio access networks (RAN) …