Cloud service providers offer application providers with virtually infinite storage and
computing resources, while providing cost-efficiency and various other quality of service …

Big data pipelines are developed to process data characterized by one or more of the three
big data features, commonly known as the three Vs (volume, velocity, and variety), through a …

Distributed computing continuum systems (DCCS) make use of a vast number of computing
devices to process data generated by edge devices such as the Internet of Things and …

The emerging concept of big data pipelines provides relevant solutions and is one of the
main enablers of telemedicine. We present a data pipeline for remote patient monitoring and …

Cloud storage adoption has increased over the years as more and more data has been
produced with particularly high demand for fast processing and low latency. To meet the …

Cloud computing has become an increasingly popular choice for businesses and
individuals due to its flexibility, scalability, and convenience; however, the rising cost of …

Cloud storage adoption has increased over the years given the high demand for fast
processing, low access latency, and ever-increasing amount of data being generated by, eg …

Data pipelines are crucial for processing and transforming data in various domains,
including finance, healthcare, and e-commerce. Ensuring the reliability and accuracy of data …

Deploying microservice-based applications on computing clusters in the Cloud is subject to
stochastic changes due to dynamic user requirements. To address the problem of estimating …

In the scope of Industry 4.0, this paper showcases the design and implementation of a
context-aware decision-making framework that simulates the production planning of …