Experimental Evaluation of Regular Events Occurrence in Continouous-time Markov Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43897721" target="_blank" >RIV/49777513:23520/11:43897721 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Experimental Evaluation of Regular Events Occurrence in Continouous-time Markov Models
Original language description
Continuous-time Markov process is widely used abstract tool to construct high-level models of complex computer systems in order to evaluate either performance or reliability parameters of the system. Utilization of the continuous-time Markov process is based on an assumption of exponential distribution of the time between random events influencing behavior of the modeled system. Another probability distribution of this time needs an adaptation of original model. This article uses a representative example to evaluate precision of the modeled system parameters when the exponential distribution of interarrival time of events is replaced with another probability distribution, including quite regular distribution of incoming events.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Eleventh International Conference on Informatics
ISBN
978-80-89284-94-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
143-146
Publisher name
EQUILIBRIA
Place of publication
Košice
Event location
Rožňava
Event date
Nov 16, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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