Probabilistic Bisimulation for Realistic Schedulers

Christian Eisentraut, Jens Christian Godskesen, Holger Hermanns, Lei Song, Lijun Zhang

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    Weak distribution bisimilarity is an equivalence notion on probabilistic automata, originally proposed for Markov automata. It has gained some popularity as the coarsest behavioral equivalence enjoying valuable properties like preservation of trace distribution equivalence and compositionality. This holds in the classical context of arbitrary schedulers, but it has been argued that this class of schedulers is unrealistically powerful. This paper studies a strictly coarser notion of bisimilarity, which still enjoys these properties in the context of realistic subclasses of schedulers: Trace distribution equivalence is implied for partial information schedulers, and compositionality is preserved by distributed schedulers. The intersection of the two scheduler classes thus spans a coarser and still reasonable compositional theory of behavioral semantics.
    Original languageEnglish
    Title of host publicationFM 2015: Formal Methods : 20th International Symposium, Oslo, Norway, June 24-26, 2015, Proceedings
    Volume9109
    PublisherSpringer
    Publication date2015
    Pages248-264
    ISBN (Print)978-3-319-19248-2
    ISBN (Electronic)978-3-319-19249-9
    DOIs
    Publication statusPublished - 2015
    EventThe 20th International Symposium on Formal Methods - University of Oslo, Oslo, Norway
    Duration: 22 Jun 201526 Jun 2015
    Conference number: 20
    http://fm2015.ifi.uio.no/

    Conference

    ConferenceThe 20th International Symposium on Formal Methods
    Number20
    LocationUniversity of Oslo
    Country/TerritoryNorway
    CityOslo
    Period22/06/201526/06/2015
    Internet address
    SeriesLecture Notes in Computer Science
    ISSN0302-9743

    Fingerprint

    Dive into the research topics of 'Probabilistic Bisimulation for Realistic Schedulers'. Together they form a unique fingerprint.

    Cite this