Verfügbarkeit: Input modeling with phase-type distributions and Markov models

Input modeling with phase-type distributions and Markov models: theory and applications

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Bibliographische Detailangaben
Beteiligte Personen:	Buchholz, Peter 1961- (VerfasserIn), Kriege, Jan (VerfasserIn), Dohndorf, Iryna 1983- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham [u.a.] Springer 2014
Schriftenreihe:	SpringerBriefs in mathematics
Links:	https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 https://doi.org/10.1007/978-3-319-06674-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027366292&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027366292&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource
ISBN:	9783319066738 9783319066745
DOI:	10.1007/978-3-319-06674-5

Internformat

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Datensatz im Suchindex

DE-BY-TUM_katkey	2006114
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adam_text	INPUT MODELING WITH PHASE-TYPE DISTRIBUTIONS AND MARKOV MODELS / BUCHHOLZ, PETER : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS 1. INTRODUCTION 2. PHASE TYPE DISTRIBUTIONS 3. PARAMETER FITTING FOR PHASE TYPE DISTRIBUTIONS 4. MARKOVIAN ARRIVAL PROCESSES 5. PARAMETER FITTING OF MAPS 6. STOCHASTIC MODELS INCLUDING PH DISTRIBUTIONS AND MAPS 7. SOFTWARE TOOLS 8. CONCLUSION REFERENCES INDEX DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. INPUT MODELING WITH PHASE-TYPE DISTRIBUTIONS AND MARKOV MODELS / BUCHHOLZ, PETER : 2014 ABSTRACT / INHALTSTEXT CONTAINING A SUMMARY OF SEVERAL RECENT RESULTS ON MARKOV-BASED INPUT MODELING IN A COHERENT NOTATION, THIS BOOK INTRODUCES AND COMPARES ALGORITHMS FOR PARAMETER FITTING AND GIVES AN OVERVIEW OF AVAILABLE SOFTWARE TOOLS IN THE AREA. DUE TO PROGRESS MADE IN RECENT YEARS WITH RESPECT TO NEW ALGORITHMS TO GENERATE PH DISTRIBUTIONS AND MARKOVIAN ARRIVAL PROCESSES FROM MEASURED DATA, THE MODELS OUTLINED ARE USEFUL ALTERNATIVES TO OTHER DISTRIBUTIONS OR STOCHASTIC PROCESSES USED FOR INPUT MODELING. GRADUATE STUDENTS AND RESEARCHERS IN APPLIED PROBABILITY, OPERATIONS RESEARCH AND COMPUTER SCIENCE ALONG WITH PRACTITIONERS USING SIMULATION OR ANALYTICAL MODELS FOR PERFORMANCE ANALYSIS AND CAPACITY PLANNING WILL FIND THE UNIFIED NOTATION AND UP-TO-DATE RESULTS PRESENTED USEFUL. INPUT MODELING IS THE KEY STEP IN MODEL BASED SYSTEM ANALYSIS TO ADEQUATELY DESCRIBE THE LOAD OF A SYSTEM USING STOCHASTIC MODELS. THE GOAL OF INPUT MODELING IS TO FIND A STOCHASTIC MODEL TO DESCRIBE A SEQUENCE OFMEASUREMENTS FROM A REAL SYSTEM TO MODEL FOR EXAMPLE THE INTER-ARRIVAL TIMES OF PACKETS IN A COMPUTER NETWORK OR FAILURE TIMES OF COMPONENTS IN A MANUFACTURING PLANT. TYPICAL APPLICATION AREAS ARE PERFORMANCE AND DEPENDABILITY ANALYSIS OF COMPUTER SYSTEMS, COMMUNICATION NETWORKS, LOGISTICS OR MANUFACTURING SYSTEMS BUT ALSO THE ANALYSIS OF BIOLOGICAL OR CHEMICAL REACTION NETWORKS AND SIMILAR PROBLEMS. OFTEN THE MEASURED VALUES HAVE A HIGH VARIABILITY AND ARE CORRELATED. IT’S BEEN KNOWN FOR A LONG TIME THAT MARKOV BASED MODELS LIKE PHASE TYPE DISTRIBUTIONS OR MARKOVIAN ARRIVAL PROCESSES ARE VERY GENERAL AND ALLOW ONE TO CAPTURE EVEN COMPLEX BEHAVIORS. HOWEVER, THE PARAMETERIZATION OF THESE MODELS RESULTS OFTEN IN A COMPLEX AND NON-LINEAR OPTIMIZATION PROBLEM. ONLY RECENTLY, SEVERAL NEW RESULTS ABOUT THE MODELING CAPABILITIES OF MARKOV BASED MODELS AND ALGORITHMS TO FIT THE PARAMETERS OF THOSE MODELS HAVE BEEN PUBLISHED DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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isbn	9783319066738 9783319066745
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spellingShingle	Buchholz, Peter 1961- Kriege, Jan Dohndorf, Iryna 1983- Input modeling with phase-type distributions and Markov models theory and applications
title	Input modeling with phase-type distributions and Markov models theory and applications
title_auth	Input modeling with phase-type distributions and Markov models theory and applications
title_exact_search	Input modeling with phase-type distributions and Markov models theory and applications
title_full	Input modeling with phase-type distributions and Markov models theory and applications Peter Buchholz ; Jan Kriege ; Iryna Felko
title_fullStr	Input modeling with phase-type distributions and Markov models theory and applications Peter Buchholz ; Jan Kriege ; Iryna Felko
title_full_unstemmed	Input modeling with phase-type distributions and Markov models theory and applications Peter Buchholz ; Jan Kriege ; Iryna Felko
title_short	Input modeling with phase-type distributions and Markov models
title_sort	input modeling with phase type distributions and markov models theory and applications
title_sub	theory and applications
url	https://doi.org/10.1007/978-3-319-06674-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027366292&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027366292&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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