In recent years, serverless computing has received significant attention due to its innovative
approach to cloud computing. In this novel approach, a new payment model is presented …

Over the last years, the ever-growing number of Machine Learning (ML) and Artificial
Intelligence (AI) applications deployed in the Cloud has led to high demands on the …

Cloud and Fog computing are complementary technologies used for complex Internet of
Things (IoT) based deployment of applications. With an increase in the number of internet …

The growing complexity of end-to-end Machine Learning (ML) serving across the edge-
cloud continuum has raised the necessity for runtime explainability to support service …

Serverless computing offers resource efficiency, cost efficiency, and a" pay-as-you-go"
pricing model, which makes it highly attractive to both users and cloud providers. However …

The use of intelligent sensors and edge devices has grown exponentially for automation in
the industry to hyper-personalize applications, minimize cost, improve efficiency, and …

Optimizing the quality of machine learning (ML) services for individual consumers with
specific objectives is crucial for improving consumer satisfaction. In this context, end-to-end …

Cloud computing is one of the major paradigms in the information technology industry,
offering diverse scalable on-demand services over the Internet. Nevertheless, managing …