Opening Remarks [
]
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MArK8s - A Management Toolchain Approach for Automotive Real-Time Kubernetes Containers in the Mobile Edge Cloud [
]
Bernhard Blieninger, Aaron Dietz and Uwe Baumgarten
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Towards a Predictable and Cognitive Edge-Cloud Architecture for Industrial Systems [
]
Mohammad Ashjaei, Saad Mubeen, Masoud Daneshtaalb, Victor Casamayor and Geoffrey Nelissen
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RT-SCALER: Adaptive Resource Allocation Framework for Real-Time Containers [
]
Vaclav Struhar, Silviu S. Craciunas, Mohammad Ashjaei, Moris Behnam and Alessandro Papadopoulos
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Industrial use-cases for real-time edge-computing [
]
Arne Hamann
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High-performance real-time systems design from cloud to embedded edge [
]
Matteo Andreozzi and Girish Shirasat
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Priority-Driven Real-Time Scheduling in ROS2: Potential and Challenges [
]
Hyunjong Choi, Daniel Enright, Hoora Sobhani, Yecheng Xiang and Hyoseung Kim
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Priority-Driven Real-Time Scheduling in ROS2: Potential and Challenges [
]
Hyunjong Choi, Daniel Enright, Hoora Sobhani, Yecheng Xiang and Hyoseung Kim
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Giving the Software Defined Vehicle an Edge [
]
Joerg Seitter
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The role of virtualization at the edge for mixed-criticality applications [
]
Giorgiomaria Cicero
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zenoh: A Next-Generation Protocol for IoT and Edge Computing [
]
Frédéric Desbiens
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Minimal-Overlap Centrality-Driven Gateway Designation for Real-Time TSCH Networks [
]
Miguel Gutiérrez Gaitán, Pedro d'Orey, Pedro Santos and Luís Almeida
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No-more-unbounded-blocking queues: bounding transmission latencies in real-time edge computing [
]
Gabriele Serra and Pietro Fara
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Safety Verification of Third-Party Hardware Modules via Information Flow Tracking [
]
Andres Meza, Francesco Restuccia, Ryan Kastner and Jason Oberg
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Deadline-Aware Task Offloading for Vehicular Edge Computing Networks [
]
Pratham Oza
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Serving DNNs like Clockwork: Performance Predictability from the Bottom Up [
]
Arpan Gujarati
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QoS-aware resource management for Edge-AI [
]
Hana Khamfroush
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Low power Machine Learning Techniques for Edge-AI [
]
Mohammad Al Faruque
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Closing Remarks [
]
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