The effective implementation of Industry 4.0 requires the reformulation of industrial
processes in order to achieve the vertical and horizontal digitalization of the value chain. For …

Cloud Computing is revolutionizing smart manufacturing by offering on-demand and
scalable computer systems that facilitate plant data analysis and operational efficiency …

The deployment, monitoring and configuration of applications in Fog Computing are
becoming quite challenging, due to heterogeneity of mobile and IoT devices involved, data …

The fourth industrial revolution advocates the reformulation of industrial processes to
achieve the end-to-end (provider-customer) digitalisation of the industrial sector. As is well …

In a serverless cloud computing environment, the cloud provider dynamically manages the
allocation of resources whereas the developers purely focus on their applications. The data …

Context-The exponential growth of data is becoming a significant concern. Managing this
data has become incredibly challenging, especially when dealing with various sources in …

Big data analytics (BDA) applications use machine learning algorithms to extract valuable
insights from large, fast, and heterogeneous data sources. New software engineering …

Abstract The Artificial Intelligence is one of the key enablers of the Industry 4.0. The building
of learning models as well as their deployment in environments where the rate of data …

[ES] La implementación práctica de la Industria 4.0 requiere la reformulación y coordinación
de los procesos industriales. Para ello se requiere disponer de una plataforma digital que …

Going data intensive requires much effort not only in the design, but also in
system/infrastructure configuration and deployment; most of these activities still happen via …