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Titlebook: Dependable Computing - EDCC 2020 Workshops; AI4RAILS, DREAMS, DS Simona Bernardi,Valeria Vittorini,Paolo Masci Conference proceedings 2020

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Interplaying Cassandra NoSQL Consistency and Performance: A Benchmarking Approachetting for strong consistency depends on the ratio of read and write operations. Finally, we generalize our experience by proposing a benchmarking-based methodology for run-time optimization of consistency settings to achieve the maximum Cassandra performance and still guarantee the strong data cons
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Application of Extreme Value Analysis for Characterizing the Execution Time of Resilience Supportingbabilistic Timing Analysis (MBPTA) aims at estimating the Worst-Case Execution Time (WCET) based on measurements. A technique in the MBPTA “toolbox”, Extreme Value Analysis (EVA) is a statistical paradigm dealing with approximating the properties of extremely deviant values..This paper demonstrates
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Conference proceedings 2020d from 35 submissions. The workshop papers complement the main conference topics by addressing dependability or security issues in specic application domains or by focussing in specialized topics, such as system resilience..
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1865-0929 nd selected from 35 submissions. The workshop papers complement the main conference topics by addressing dependability or security issues in specic application domains or by focussing in specialized topics, such as system resilience..978-3-030-58461-0978-3-030-58462-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
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https://doi.org/10.1007/978-3-319-71976-4rial railway network of the inland harbor of Braunschweig (Germany). This work shows that deep learning methods can be applied to find patterns in railway track irregularities and opens a wide area of further improvements and developments.
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