Deep neural networks (DNNs) have been showing significant success in various
applications, such as autonomous driving, mobile devices, and Internet of Things. Although …

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 …

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 scheduling and analysis of parallel tasks modeled as directed acyclic graphs
(DAG) have been intensively studied in recent years. However, no existing work has …

Most parallel real-time applications can be modeled as directed acyclic graph (DAG) tasks.
Intra-task priority assignment can reduce the nondeterminism of runtime behavior of DAG …

Federated scheduling is a promising approach to schedule parallel real-time tasks on multi-
cores, where each heavy task exclusively executes on a number of dedicated processors …

The sporadic DAG task model exposes parallelism that may exist within individual tasks to
the run-time scheduling mechanism, and is therefore considered a particularly suitable …

This work studies energy-aware real-time scheduling of a set of sporadic Directed Acyclic
Graph (DAG) tasks with implicit deadlines. While meeting all real-time constraints, we try to …

Recurrent (periodic and sporadic) task systems have traditionally been scheduled upon
multiprocessor platforms using either the partitioned or the global approach. Under the …

A federated approach to the multiprocessor scheduling of systems of independent recurrent
tasks is considered, in which each task is either restricted to execute preemptively upon a …