Current real-time systems applications are mostly large-scale, where tasks are intrinsically
time-constrained and meaningfully dependent. Nevertheless, while the initial partitioning …

The ultimate objective in this paper is to propose a new method for dependent tasks
clustering by considering the inter-tasks communication cost, the inter-clusters …

Deep Neural Network (DNN) algorithms have become ubiquitous within the vision domain,
encompassing various tasks, including object detection, segmentation, and classification …

Satisfying a real-time system (RTS) timing constraints is a serious deal for the prevention or
the decreasing of the human and economic possible problems. In this vein, multiprocessor …

For several years, real time systems (RTS) have been continuously growing and complex.
The time needed for their development is consequently very important and their accuracy is …

Real‐time edge computing is forging its place in cloud computing rapidly, and requirements
for high‐performance edge devices are becoming increasingly complex. Multiprocessor …