BuTools 2

A rich toolbox for Markovian performance evaluation

Gábor Horváth, M. Telek

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

2 Citations (Scopus)

Abstract

BuTools 2 is collection of computational methods that are useful for Markovian and non-Markovian matrix analytic performance analysis. It consists of various packages. There are packages to obtain, analyze, transform and minimize discrete and continuous time phase-type (PH) distributions and Markovian arrival processes (MAP); to fit empirical measurement data and to evaluate the result; to solve many performance measures of various Markovian queueing systems; and to solve block-structured Markov chains. All three major mathematical frameworks are supported: BuTools is released for MATLAB, Mathematica and NumPy/IPython as well, with the same features, with the same call interfaces. Every function is documented, the documentation is supplemented by many examples and the related citations. BuTools uses the state-of-the art algorithms and apart of the basic functionalities it contains several unique, difficult to implement procedures as well.

Original languageEnglish
Title of host publicationValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools
PublisherAssociation for Computing Machinery
Pages137-142
Number of pages6
ISBN (Electronic)9781631901416
DOIs
Publication statusPublished - Jan 1 2017
Event10th EAI International Conference on Performance Evaluation Methodologies and Tools, ValueTools 2016 - Taormina, Italy
Duration: Oct 25 2016Oct 28 2016

Other

Other10th EAI International Conference on Performance Evaluation Methodologies and Tools, ValueTools 2016
CountryItaly
CityTaormina
Period10/25/1610/28/16

Fingerprint

Computational methods
Markov processes
MATLAB
documentation
evaluation
Markov chains
arrivals
matrices

ASJC Scopus subject areas

  • Instrumentation

Cite this

Horváth, G., & Telek, M. (2017). BuTools 2: A rich toolbox for Markovian performance evaluation. In ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools (pp. 137-142). Association for Computing Machinery. https://doi.org/10.4108/eai.25-10-2016.2266400

BuTools 2 : A rich toolbox for Markovian performance evaluation. / Horváth, Gábor; Telek, M.

ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools. Association for Computing Machinery, 2017. p. 137-142.

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

Horváth, G & Telek, M 2017, BuTools 2: A rich toolbox for Markovian performance evaluation. in ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools. Association for Computing Machinery, pp. 137-142, 10th EAI International Conference on Performance Evaluation Methodologies and Tools, ValueTools 2016, Taormina, Italy, 10/25/16. https://doi.org/10.4108/eai.25-10-2016.2266400
Horváth G, Telek M. BuTools 2: A rich toolbox for Markovian performance evaluation. In ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools. Association for Computing Machinery. 2017. p. 137-142 https://doi.org/10.4108/eai.25-10-2016.2266400
Horváth, Gábor ; Telek, M. / BuTools 2 : A rich toolbox for Markovian performance evaluation. ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools. Association for Computing Machinery, 2017. pp. 137-142
@inproceedings{886bb11206ad4fea8162cfdb856bf3cc,
title = "BuTools 2: A rich toolbox for Markovian performance evaluation",
abstract = "BuTools 2 is collection of computational methods that are useful for Markovian and non-Markovian matrix analytic performance analysis. It consists of various packages. There are packages to obtain, analyze, transform and minimize discrete and continuous time phase-type (PH) distributions and Markovian arrival processes (MAP); to fit empirical measurement data and to evaluate the result; to solve many performance measures of various Markovian queueing systems; and to solve block-structured Markov chains. All three major mathematical frameworks are supported: BuTools is released for MATLAB, Mathematica and NumPy/IPython as well, with the same features, with the same call interfaces. Every function is documented, the documentation is supplemented by many examples and the related citations. BuTools uses the state-of-the art algorithms and apart of the basic functionalities it contains several unique, difficult to implement procedures as well.",
author = "G{\'a}bor Horv{\'a}th and M. Telek",
year = "2017",
month = "1",
day = "1",
doi = "10.4108/eai.25-10-2016.2266400",
language = "English",
pages = "137--142",
booktitle = "ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools",
publisher = "Association for Computing Machinery",

}

TY - GEN

T1 - BuTools 2

T2 - A rich toolbox for Markovian performance evaluation

AU - Horváth, Gábor

AU - Telek, M.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - BuTools 2 is collection of computational methods that are useful for Markovian and non-Markovian matrix analytic performance analysis. It consists of various packages. There are packages to obtain, analyze, transform and minimize discrete and continuous time phase-type (PH) distributions and Markovian arrival processes (MAP); to fit empirical measurement data and to evaluate the result; to solve many performance measures of various Markovian queueing systems; and to solve block-structured Markov chains. All three major mathematical frameworks are supported: BuTools is released for MATLAB, Mathematica and NumPy/IPython as well, with the same features, with the same call interfaces. Every function is documented, the documentation is supplemented by many examples and the related citations. BuTools uses the state-of-the art algorithms and apart of the basic functionalities it contains several unique, difficult to implement procedures as well.

AB - BuTools 2 is collection of computational methods that are useful for Markovian and non-Markovian matrix analytic performance analysis. It consists of various packages. There are packages to obtain, analyze, transform and minimize discrete and continuous time phase-type (PH) distributions and Markovian arrival processes (MAP); to fit empirical measurement data and to evaluate the result; to solve many performance measures of various Markovian queueing systems; and to solve block-structured Markov chains. All three major mathematical frameworks are supported: BuTools is released for MATLAB, Mathematica and NumPy/IPython as well, with the same features, with the same call interfaces. Every function is documented, the documentation is supplemented by many examples and the related citations. BuTools uses the state-of-the art algorithms and apart of the basic functionalities it contains several unique, difficult to implement procedures as well.

UR - http://www.scopus.com/inward/record.url?scp=85021323579&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85021323579&partnerID=8YFLogxK

U2 - 10.4108/eai.25-10-2016.2266400

DO - 10.4108/eai.25-10-2016.2266400

M3 - Conference contribution

SP - 137

EP - 142

BT - ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools

PB - Association for Computing Machinery

ER -