MRMSolve: A tool for transient analysis of large markov reward models

Sándor Rácz, Béla P. Tóth, M. Telek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

MRMSolve is a new analysis tool developed for the evalua-tion of large Markov Reward Models (MRM) that provides the moments of the accumulated reward and the completion time. MRMSolve is based on the Java technology, hence it allows to access the tool from any node connected with the Internet as long as it possesses a Java-enabled Web browser.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages337-340
Number of pages4
Volume1786
ISBN (Print)3540672605, 9783540672609
DOIs
Publication statusPublished - 2000
Event11th International Conference on Modelling Tools and Techniques for Computer and Communication System Performance Evaluation, TOOLS 2000 - Schaumburg, United States
Duration: Mar 27 2000Mar 31 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1786
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Modelling Tools and Techniques for Computer and Communication System Performance Evaluation, TOOLS 2000
CountryUnited States
CitySchaumburg
Period3/27/003/31/00

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Rácz, S., Tóth, B. P., & Telek, M. (2000). MRMSolve: A tool for transient analysis of large markov reward models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1786, pp. 337-340). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1786). Springer Verlag. https://doi.org/10.1007/3-540-46429-8_26