Resource scheduling in cloud is a challenging job and the scheduling of appropriate
resources to cloud workloads depends on the QoS requirements of cloud applications. In …

The use of containers in cloud architectures has become widespread, owing to advantages
such as limited overheads, easier and faster deployment, and higher portability. Moreover …

This article discusses the main advantages and challenges of adopting microservices in
cloud computing. The microservices architecture allows software developers to build a …

Abstract Internet of Things (IoT) technologies can facilitate the preventive conservation of
cultural heritage (CH) by enabling the management of data collected from electronic …

Open Science is a paradigm in which scientific data, procedures, tools and results are
shared transparently and reused by society. The European Open Science Cloud (EOSC) …

Docker provides a good basis to run composite applications in the cloud, especially if those
are not cloud-aware, or cloud-native. However, Docker concentrates on managing …

In this paper we propose a distributed architecture to provide machine learning practitioners
with a set of tools and cloud services that cover the whole machine learning development …

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

This paper introduces a platform to support serverless computing for scalable event-driven
data processing that features a multi-level elasticity approach combined with virtualization of …

The advent of open-source serverless computing frameworks has introduced the ability to
bring the Functions-as-a-Service (FaaS) paradigm for applications to be executed on …