Evaluation of reward analysis methods with MRMSolve 2.0

Gábor Horváth, Sándor Rácz, Árpád Tari, Miklós Telek

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

7 Citations (Scopus)

Abstract

The paper presents the 2.0 release of MRMSolve, a Markov reward model (MRM) analysis tool. This new release integrates recent research results, such as MRMs with partial reward loss, second order MRMs and their combination, with old and widely known reward analysis methods, such as the ones by DeSouza-Gail, Nabli-Sericola and Donatiello-Grassi. The paper compares the mentioned direct distribution analysis methods with each other and with the moments based reward estimation methods. Markov reward models, Randomization, Numerical analysis.

Original languageEnglish
Title of host publicationProceedings - First International Conference on the Quantitative Evaluation of Systems, QEST 2004
PublisherIEEE Computer Society
Pages165-174
Number of pages10
ISBN (Print)0769521851, 9780769521855
DOIs
Publication statusPublished - 2004
EventProceedings - First International Conference on the Quantitave Evaluation of Systems, QEST 2004 - Enschede, Netherlands
Duration: Sep 27 2004Sep 30 2004

Publication series

NameProceedings - First International Conference on the Quantitative Evaluation of Systems, QEST 2004

Other

OtherProceedings - First International Conference on the Quantitave Evaluation of Systems, QEST 2004
CountryNetherlands
CityEnschede
Period9/27/049/30/04

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Evaluation of reward analysis methods with MRMSolve 2.0'. Together they form a unique fingerprint.

  • Cite this

    Horváth, G., Rácz, S., Tari, Á., & Telek, M. (2004). Evaluation of reward analysis methods with MRMSolve 2.0. In Proceedings - First International Conference on the Quantitative Evaluation of Systems, QEST 2004 (pp. 165-174). (Proceedings - First International Conference on the Quantitative Evaluation of Systems, QEST 2004). IEEE Computer Society. https://doi.org/10.1109/qest.2004.1348031