Driven by the core technologies, ie, sensor-based autonomous data acquisition and the
cloud-based big data analysis, IoT automates the actuation of data-driven intelligent actions …

Abstract Context: The Data Stream Processing (DSP) approach focuses on real-time data
processing by applying specific techniques for capturing and processing relevant data for on …

Streams are temporally ordered, rapid changing, ample in volume, and infinite in nature. It is
nearly impossible to store the entire data stream due to its large volume and high velocity. In …

Abstract The “New Landscapes of the Data Stream Processing in the era of Fog Computing”
special issue aims to present new research works on topics related to recent advances in …

This paper presents the design, development, and implementation of Kulla, a virtual
container-centric construction model that mixes loosely coupled structures with a parallel …

This article presents the design and implementation of a reliable computing virtual container‐
based model with integrity verification for data processing strategies named the reliability …

Multi-core computing systems are becoming increasingly parallel and heterogeneous.
Parallelism exploitation is today the primary instrument for improving application …

GrPPI library aims to simplify the burdening task of parallel programming. It provides a
unified, abstract, and generic layer while promising minimal overhead on performance …

Several solutions aim to simplify the burdening task of parallel programming. The GrPPI
library is one of them. It allows users to implement parallel code for multiple backends …

Modern supercomputer architectures have grown increasingly complex and diverse since
the end of Moore's law in the mid-2000s, and are far more difficult to program than their …