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

As software systems grow increasingly intricate, Artificial Intelligence for IT Operations
(AIOps) methods have been widely used in software system failure management to ensure …

Numerous studies explore the prospects presented by the recent upsurge of large language
models. The usage of LLMs in production environments poses challenges that highlight the …

ABSTRACT AIOps or Artificial Intelligence for IT Operation and MLOps or Machine Learning
Operations are two novel trends that are shifting the dynamics of software engineering by …

Abstract The field of MLOps (Machine Learning Operations), which focuses on effectively
managing and operationalizing ML workflows, has grown because of the advancements in …

AI Alignment is a term used to summarize the aim of making artificial intelligence (AI)
systems behave in line with human intentions and values. There has been little …

With the advancement of technologies like 5G, cloud computing, and microservices, the
complexity of network management systems and the variety of technical components have …

This study conducted a detailed comparative analysis of various machine learning models to
enhance wind energy forecasts, including linear regression, decision tree, random forest …

Practitioners in the field of TinyML lack so far a comprehensive,“batteries-included” toolkit to
streamline continuous integration, continuous deployment and performance assessments of …

With the process of democratization of the network edge, hardware and software for
networks are becoming available to the public, overcoming the confines of traditional cloud …