Abstract The evolution of Cloud Computing into a service utility, along with the pervasive
adoption of the IoT paradigm, has promoted a significant growth in the need of …

Even simply through a GoogleTrends search it becomes clear that Machine-Learning
Operations-or MLOps, for short-are climbing in interest from both a scientific and practical …

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 …

Serverless computing greatly simplifies the use of cloud resources. In particular, Function-as-
a-Service (FaaS) platforms enable programmers to develop applications as individual …

Serverless computing has gained importance over the last decade as an exciting new field,
owing to its large influence in reducing costs, decreasing latency, improving scalability, and …

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 …

Serverless edge systems simplify the deployment of real-time AI-based Internet of Things
(IoT) applications at the edge. However, the heterogeneity of edge computing nodes–in …

Infrastructure-as-code (IaC) is the DevOps practice enabling management and provisioning
of infrastructure through the definition of machine-readable files, hereinafter referred to as …

A microservice-based application is composed of a set of small services that run within their
own processes and communicate with a lightweight mechanism. Processing the …

Microservices is an emerging paradigm for develo** distributed systems. With their
widespread adoption, more and more work investigated the relation between microservices …