Modern scientific research challenges require new technologies, integrated tools, reusable
and complex experiments in distributed computing infrastructures. But above all, computing …

The number of both service providers operating in the cloud market and customers
consuming cloud-based services is constantly increasing, proving that the cloud computing …

While the digital twins paradigm has attracted the interest of several research communities
over the past twenty years, it has also gained ground recently in industrial environments …

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 …

Globally, cities are emerging into Smart Cities (SC) as a result of sustainable cities and the
adaption of recent Internet of Things (IoT) technology. It is becoming essential to involve …

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

Background Metabolomics is the comprehensive study of a multitude of small molecules to
gain insight into an organism's metabolism. The research field is dynamic and expanding …

The article deals with the problems of using adaptive cloud-based learning systems (ACLS)
in the modern high-tech educational environment and expanding access to them as tools of …

The growth in the number and types of cloud-based services offered to IT customers is
supported by the constant entry of new actors in the market and the consolidation of …

IoT-based applications need to be dynamically orchestrated on cloud-edge infrastructures
for reasons such as performance, regulations, or cost. In this context, a crucial problem is …