In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …

Multi-/many-core systems are envisioned to satisfy the ever-increasing performance
requirements of complex applications in various domains such as embedded and high …

This paper considers the scheduling of parallel real-time tasks with implicit deadlines. Each
parallel task is characterized as a general directed acyclic graph (DAG). We analyze three …

In graph-based learning models, entities are often represented as vertices in an undirected
graph with weighted edges describing the relationships between entities. In many real-world …

Virtualized Radio Access Network (vRAN) offers a cost-efficient solution for running the 5G
RAN as a virtualized network function (VNF) on commodity hardware. The vRAN is more …

Recently, multi-core processors have become mainstream in processor design. To take full
advantage of multi-core processing, computation-intensive real-time systems must exploit …

A model is considered for representing recurrent precedence-constrained tasks that are to
execute on multiprocessor platforms. A recurrent task is specified as a directed a cyclic …

Different task models have been proposed to represent the parallel structure of real-time
tasks executing on manycore platforms: fork/join, synchronous parallel, DAG-based, etc …

Real-time systems increasingly contain processing units with multiple cores. To use this
additional computational power in hard deadline environments, one needs schedulability …

As the complexity of software for Cyber-Physical Systems (CPS) rapidly increases, multi-
core processors and parallel programming models such as OpenMP become appealing to …