Serverless computing, or Function as a Service (FaaS), represents a research trend where
applications are built and deployed as a group of stateless functions. Although initially …

Machine Learning Operations (MLOps) is an approach to managing the entire lifecycle of a
machine learning model. It has evolved over the last years and has started attracting many …

Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

This paper introduces an open-source platform to support serverless computing for scientific
data-processing workflow-based applications across the Cloud continuum (ie …

Serverless computing has emerged as a revolutionary model that enables the deployment of
applications and services by raising the level of abstraction from the underline resources. Its …

Serverless computing is a new concept allowing developers to focus on the core
functionality of their code, while abstracting away the underlying infrastructure. Even though …

Novel computing paradigms aim to enable better hardware utilization, allowing a greater
number of applications to be executed on the same physical resources. Serverless …

We propose a set of optimization techniques for transforming a generic AI codebase so that
it can be successfully deployed to a restricted serverless environment, without compromising …

Serverless computing and, in particular, the functions as a service model has become a
convincing paradigm for the development and implementation of highly scalable …

Serverless computing-a stateless cloud computing model, is an emerging solution that has
shown significant benefits to efficiency and cost for event-driven applications in the cloud …