Real-Time Systems

Papers
(The TQCC of Real-Time Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Shielded reinforcement learning for fault-tolerant scheduling in real-time systems36
Connecting the physical space and cyber space of autonomous systems more closely16
Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing14
Editorial on the special issue of RTNS 202012
Characterizing global work-conserving scheduling tardiness with uniform instances on multiprocessors11
Multi-core interference over-estimation reduction by static scheduling of multi-phase tasks9
Extending a predictable machine learning framework with efficient gemm-based convolution routines8
Worst case response time analysis for completely fair scheduling in Linux systems8
To MILP or not to MILP? On AI techniques for the design and optimization of real-time systems8
Optimally ordering IDK classifiers subject to deadlines5
Design optimization for real-time systems with sustainable schedulability analysis5
Resource Management for Stochastic Parallel Synchronous Tasks: Bandits to the Rescue5
Cutting-plane algorithms for preemptive uniprocessor scheduling problems5
A framework for multi-core schedulability analysis accounting for resource stress and sensitivity5
Feasibility analysis for HPC-DAG tasks5
Exploring AMD GPU scheduling details by experimenting with “worst practices”5
Statistical verification of autonomous system controllers under timing uncertainties4
The Real-Time Systems journal and the challenges ahead4
A formal framework to design and prove trustworthy memory controllers4
Position paper: deep reinforcement learning for real-time resource management4
Supporting AI-powered real-time cyber-physical systems on heterogeneous platforms via hypervisor technology3
From cache and memory management to WCET analysis3
The shape of a DAG: bounding the response time using long paths3
An MDP-based solution for the energy minimization of non-clairvoyant hard real-time systems3
CertiCAN certifying CAN analyses and their results3
The advantage of the GPU as a real-time AI accelerator3
0.015018939971924