This article presents a taxonomy and represents a repository of open problems in computing
for numerically and logically intensive problems in a number of disciplines that have to …

The paper considers the conceptual approach for organization of the vertical hierarchical
links between the scalable distributed computing paradigms: Cloud Computing, Fog …

This article provides background information about interconnection networks, an analysis of
previous developments, and an overview of the state of the art. The main contribution of this …

This article describes a teaching strategy that synergizes computing and management,
aimed at the running of complex projects in industry and academia, in the areas of civil …

Advancements in microprocessor architecture, interconnection technology, and software
development have fueled rapid growth in parallel and distributed computing. However, this …

Big Data is characterized by the five V's-of Volume, Velocity, Variety, Veracity and Value.
Research on Big Data, that is, the practice of gaining insights from it, challenges the …

In this study, two machine-learning algorithms based on the artificial neural network (ANN)
model are proposed to estimate the ultimate compressive strength of square concrete-filled …

The paper discusses the shift in the computing paradigm and the programming model for
Big Data problems and applications. We compare DataFlow and ControlFlow programming …

Big data processing is becoming a reality in numerous real-world applications. With the
emergence of new data intensive technologies and increasing amounts of data, new …

This paper studies the main technological challenges of real‐time biofeedback in sport. We
identified communication and processing as two main possible obstacles for high …