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        <identifier>oai:drops-oai.dagstuhl.de:8988</identifier>
        <datestamp>2024-03-06T10:43:05Z</datestamp>
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          <dc:title>Quantifying the Resiliency of Fail-Operational Real-Time Networked Control Systems</dc:title>
          <dc:creator>Gujarati, Arpan</dc:creator>
          <dc:creator>Nasri, Mitra</dc:creator>
          <dc:creator>Brandenburg, Björn B.</dc:creator>
          <dc:subject>probabilistic analysis</dc:subject>
          <dc:subject>reliability analysis</dc:subject>
          <dc:subject>networked control systems</dc:subject>
          <dc:description>In time-sensitive, safety-critical systems that must be fail-operational, active replication is commonly used to mitigate transient faults that arise due to electromagnetic interference (EMI). However, designing an effective and well-performing active replication scheme is challenging since replication conflicts with the size, weight, power, and cost constraints of embedded applications. To enable a systematic and rigorous exploration of the resulting tradeoffs, we present an analysis to quantify the resiliency of fail-operational networked control systems against EMI-induced memory corruption, host crashes, and retransmission delays. Since control systems are typically robust to a few failed iterations, e.g., one missed actuation does not crash an inverted pendulum, traditional solutions based on hard real-time assumptions are often too pessimistic. Our analysis reduces this pessimism by modeling a control system's inherent robustness as an (m,k)-firm specification. A case study with an active suspension workload indicates that the analytical bounds closely predict the failure rate estimates obtained through simulation, thereby enabling a meaningful design-space exploration, and also demonstrates the utility of the analysis in identifying non-trivial and non-obvious reliability tradeoffs.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Arpan Gujarati and Mitra Nasri and Björn B. Brandenburg</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 106, 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2018.16</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-89884</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.16</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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