Conference proceeding
Flexibility-Aware Network Resource Partitioning for Multi-State Real-Time Mission-Critical Applications
Proceedings - Real-Time Systems Symposium, pp.297-310
Real-Time Systems Symposium-Proceedings
12/02/2025
DOI: 10.1109/RTSS66672.2025.00032
Abstract
A growing trend in large-scale industrial system design is the integration of multiple real-time, mission-critical applications over shared network infrastructures to reduce hardware costs and improve scalability. Recent advances in network resource partitioning techniques provide practical mechanisms for managing these applications hierarchically while maintaining operational isolation. However, as system complexity increases, applications often exhibit multi-state behaviors that challenge the system's ability to meet stringent timing requirements - especially under static resource partitions. While dynamic resource reconfiguration can restore feasibility, it is typically costly and disruptive in industrial environments. To address this challenge, we propose a flexibility-aware network resource partitioning framework that introduces a novel metric - partition flexibility - to quantify how effectively a resource partition supports an application's state transitions. Using this metric, we develop efficient strategies for both static partition allocation and dynamic partition adjustment, with the goal of minimizing reconfiguration overhead. We validate our framework design through a real-world case study involving a NASA extra-terrestrial habitat system deployed on a time-sensitive networking (TSN) testbed. Extensive simulations further demonstrate that the proposed partitioning framework reduces \mathbf{5 6. 4 \%} reconfigurations compared to the state-of-the-art methods.
Details
- Title: Subtitle
- Flexibility-Aware Network Resource Partitioning for Multi-State Real-Time Mission-Critical Applications
- Creators
- Tianyu Zhang - University of IowaKefan Wu - University of ConnecticutJiachen Wang - University of ConnecticutChuanyu Xue - University of ConnecticutXiaobo Sharon Hu - University of Notre DameSong Han - University of Connecticut
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings - Real-Time Systems Symposium, pp.297-310
- Series
- Real-Time Systems Symposium-Proceedings
- DOI
- 10.1109/RTSS66672.2025.00032
- ISSN
- 1052-8725
- eISSN
- 2576-3172
- Publisher
- IEEE
- Grant note
- 2008463 / NSF (10.13039/100000001)
- Language
- English
- Date published
- 12/02/2025
- Academic Unit
- Computer Science
- Record Identifier
- 9985116065202771
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