About: Markov chains hierarchical dependability models: Worst-case computations     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Dependability models allow calculating the rate of an event leading to a hazard state – a situation, where safety of the modeled dependable system (e.g. railway station signaling and interlocking equipment, automotive systems, etc.) is violated, thus the system may cause material loss, serious injuries or casualties. A hierarchical dependability model allows expressing multiple redundancies made at multiple levels of a system decomposed to multiple cooperating blocks. A hierarchical dependability model based on Markov chains allows each block and relations between these blocks to be expressed independently by Markov chains. This allows a decomposition of a complex dependability model into multiple small models to be made. The decomposed model is easier to read, understand and modify. A hazard rate is calculated significantly faster using hierarchical model, because the decomposition allows exponential calculation-time explosion to be avoided. The paper shows a method how to reduce Markov chains and use them to create hierarchical dependability models. An example study is used to demonstrate the advantages of the hierarchical dependability models (the decomposition of the complex model into multiple simple models and the speedup of the hazard rate calculation).
  • Dependability models allow calculating the rate of an event leading to a hazard state – a situation, where safety of the modeled dependable system (e.g. railway station signaling and interlocking equipment, automotive systems, etc.) is violated, thus the system may cause material loss, serious injuries or casualties. A hierarchical dependability model allows expressing multiple redundancies made at multiple levels of a system decomposed to multiple cooperating blocks. A hierarchical dependability model based on Markov chains allows each block and relations between these blocks to be expressed independently by Markov chains. This allows a decomposition of a complex dependability model into multiple small models to be made. The decomposed model is easier to read, understand and modify. A hazard rate is calculated significantly faster using hierarchical model, because the decomposition allows exponential calculation-time explosion to be avoided. The paper shows a method how to reduce Markov chains and use them to create hierarchical dependability models. An example study is used to demonstrate the advantages of the hierarchical dependability models (the decomposition of the complex model into multiple simple models and the speedup of the hazard rate calculation). (en)
Title
  • Markov chains hierarchical dependability models: Worst-case computations
  • Markov chains hierarchical dependability models: Worst-case computations (en)
skos:prefLabel
  • Markov chains hierarchical dependability models: Worst-case computations
  • Markov chains hierarchical dependability models: Worst-case computations (en)
skos:notation
  • RIV/68407700:21240/13:00207428!RIV14-MSM-21240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 86425
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21240/13:00207428
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • FPGA; dependability; safety; Markov chain; model reduction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [37B211C90132]
http://linked.open...v/mistoKonaniAkce
  • Cordoba
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • 14th Latin American Test Workshop
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kubátová, Hana
  • Kohlík, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000326647200004
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/LATW.2013.6562660
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-1-4799-0597-3
http://localhost/t...ganizacniJednotka
  • 21240
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software