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 2020-03-01 to 2024-03-01.)
ArticleCitations
A comprehensive survey of industry practice in real-time systems14
End-to-end latency characterization of task communication models for automotive systems11
An ILP representation of a DAG scheduling problem9
Correspondence Article: Counterexample for suspension-aware schedulability analysis of EDF scheduling7
Co-scheduling aperiodic real-time tasks with end-to-end firm and soft deadlines in two-stage systems6
A schedule randomization policy to mitigate timing attacks in WirelessHART networks6
A novel view on bounding execution demand under mixed-criticality EDF5
A note on slack enforcement mechanisms for self-suspending tasks5
Optimal scheduling of measurement-based parallel real-time tasks5
Linear-time admission control for elastic scheduling5
Online reconfiguration of regularity-based resource partitions in cyber-physical systems5
Supporting I/O and IPC via fine-grained OS isolation for mixed-criticality real-time tasks4
Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification4
A framework for multi-core schedulability analysis accounting for resource stress and sensitivity4
Optimally ordering IDK classifiers subject to deadlines4
Bounding the execution time of parallel applications on unrelated multiprocessors3
Reaching self-stabilising distributed synchronisation with COTS Ethernet components: the WALDEN approach3
Real-time task scheduling with image resizing for criticality-based machine perception3
Design optimization for real-time systems with sustainable schedulability analysis3
Dynamic power management under the RUN scheduling algorithm: a slack filling approach3
Mixed-criticality real-time scheduling of gang task systems3
Profile-driven memory bandwidth management for accelerators and CPUs in QoS-enabled platforms3
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