<h2>LIPIcs, Volume 231, ECRTS 2022</h2>
<ul>
<li>
<span class="authors">Martina Maggio</span>
<span class="title">LIPIcs, Volume 231, ECRTS 2022, Complete Volume</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022">10.4230/LIPIcs.ECRTS.2022</a>
</li>
<li>
<span class="authors">Martina Maggio</span>
<span class="title">Front Matter, Table of Contents, Preface, Conference Organization</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.0">10.4230/LIPIcs.ECRTS.2022.0</a>
</li>
<li>
<span class="authors">Matteo Andreozzi, Giacomo Gabrielli, Balaji Venu, and Giacomo Travaglini</span>
<span class="title">Industrial Challenge 2022: A High-Performance Real-Time Case Study on Arm</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.1">10.4230/LIPIcs.ECRTS.2022.1</a>
</li>
<li>
<span class="authors">Seonyeong Heo, Shinnung Jeong, and Hanjun Kim</span>
<span class="title">RTScale: Sensitivity-Aware Adaptive Image Scaling for Real-Time Object Detection</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.2">10.4230/LIPIcs.ECRTS.2022.2</a>
</li>
<li>
<span class="authors">Iryna De Albuquerque Silva, Thomas Carle, Adrien Gauffriau, and Claire Pagetti</span>
<span class="title">ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.3">10.4230/LIPIcs.ECRTS.2022.3</a>
</li>
<li>
<span class="authors">Axel Brando, Isabel Serra, Enrico Mezzetti, Jaume Abella, and Francisco J. Cazorla</span>
<span class="title">Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.4">10.4230/LIPIcs.ECRTS.2022.4</a>
</li>
<li>
<span class="authors">Pierre Roux, Sophie Quinton, and Marc Boyer</span>
<span class="title">A Formal Link Between Response Time Analysis and Network Calculus</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.5">10.4230/LIPIcs.ECRTS.2022.5</a>
</li>
<li>
<span class="authors">Kuan-Hsun Chen, Mario Günzel, Boguslaw Jablkowski, Markus Buschhoff, and Jian-Jia Chen</span>
<span class="title">Unikernel-Based Real-Time Virtualization Under Deferrable Servers: Analysis and Realization</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.6">10.4230/LIPIcs.ECRTS.2022.6</a>
</li>
<li>
<span class="authors">Victor Pollex and Frank Slomka</span>
<span class="title">A Mathematical Comparison Between Response-Time Analysis and Real-Time Calculus for Fixed-Priority Preemptive Scheduling</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.7">10.4230/LIPIcs.ECRTS.2022.7</a>
</li>
<li>
<span class="authors">Anaïs Finzi and Ramon Serna Oliver</span>
<span class="title">General Framework for Routing, Scheduling and Formal Timing Analysis in Deterministic Time-Aware Networks</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.8">10.4230/LIPIcs.ECRTS.2022.8</a>
</li>
<li>
<span class="authors">Rémi Meunier, Thomas Carle, and Thierry Monteil</span>
<span class="title">Correctness and Efficiency Criteria for the Multi-Phase Task Model</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.9">10.4230/LIPIcs.ECRTS.2022.9</a>
</li>
<li>
<span class="authors">Zelin Tong, Shareef Ahmed, and James H. Anderson</span>
<span class="title">Overrun-Resilient Multiprocessor Real-Time Locking</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.10">10.4230/LIPIcs.ECRTS.2022.10</a>
</li>
<li>
<span class="authors">Matheus Ladeira, Emmanuel Grolleau, Fabien Bonneval, Gautier Hattenberger, Yassine Ouhammou, and Yuri Hérouard</span>
<span class="title">Scheduling Offset-Free Systems Under FIFO Priority Protocol</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.11">10.4230/LIPIcs.ECRTS.2022.11</a>
</li>
<li>
<span class="authors">Geoffrey Nelissen, Joan Marcè i Igual, and Mitra Nasri</span>
<span class="title">Response-Time Analysis for Non-Preemptive Periodic Moldable Gang Tasks</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.12">10.4230/LIPIcs.ECRTS.2022.12</a>
</li>
<li>
<span class="authors">Federico Aromolo, Alessandro Biondi, and Geoffrey Nelissen</span>
<span class="title">Response-Time Analysis for Self-Suspending Tasks Under EDF Scheduling</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.13">10.4230/LIPIcs.ECRTS.2022.13</a>
</li>
<li>
<span class="authors">A. Burns and Cliff B. Jones</span>
<span class="title">An Approach to Formally Specifying the Behaviour of Mixed-Criticality Systems</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.14">10.4230/LIPIcs.ECRTS.2022.14</a>
</li>
<li>
<span class="authors">Marco Barletta, Marcello Cinque, Luigi De Simone, and Raffaele Della Corte</span>
<span class="title">Achieving Isolation in Mixed-Criticality Industrial Edge Systems with Real-Time Containers</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.15">10.4230/LIPIcs.ECRTS.2022.15</a>
</li>
<li>
<span class="authors">Reza Mirosanlou, Mohamed Hassan, and Rodolfo Pellizzoni</span>
<span class="title">Parallelism-Aware High-Performance Cache Coherence with Tight Latency Bounds</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.16">10.4230/LIPIcs.ECRTS.2022.16</a>
</li>
<li>
<span class="authors">Mohamed Hossam and Mohamed Hassan</span>
<span class="title">Predictably and Efficiently Integrating COTS Cache Coherence in Real-Time Systems</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.17">10.4230/LIPIcs.ECRTS.2022.17</a>
</li>
<li>
<span class="authors">Nicolas Bellec, Guillaume Hiet, Simon Rokicki, Frederic Tronel, and Isabelle Puaut</span>
<span class="title">RT-DFI: Optimizing Data-Flow Integrity for Real-Time Systems</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.18">10.4230/LIPIcs.ECRTS.2022.18</a>
</li>
<li>
<span class="authors">Marco Maida, Sergey Bozhko, and Björn B. Brandenburg</span>
<span class="title">Foundational Response-Time Analysis as Explainable Evidence of Timeliness</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.19">10.4230/LIPIcs.ECRTS.2022.19</a>
</li>
<li>
<span class="authors">Sergi Vilardell, Isabel Serra, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla, and Joan del Castillo</span>
<span class="title">Using Markov’s Inequality with Power-Of-k Function for Probabilistic WCET Estimation</span>
<a class="doi" href="https://doi.org/10.4230/LIPIcs.ECRTS.2022.20">10.4230/LIPIcs.ECRTS.2022.20</a>
</li>
</ul>
The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.
Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode
Feedback for Dagstuhl Publishing