Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements

This paper presents algorithms for identifying and reducing a dedicated set of controllable transition rates of a state-labelled continuous-time Markov chain model. The purpose of the reduction is to make states to satisfy a given requirement, specified as a CSL upper time-bounded Until formula. We...

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Main Authors: Bharath Siva Kumar Tati, Markus Siegle
Format: Article
Language:English
Published: Open Publishing Association 2016-07-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1608.00658v1
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author Bharath Siva Kumar Tati
Markus Siegle
author_facet Bharath Siva Kumar Tati
Markus Siegle
author_sort Bharath Siva Kumar Tati
collection DOAJ
description This paper presents algorithms for identifying and reducing a dedicated set of controllable transition rates of a state-labelled continuous-time Markov chain model. The purpose of the reduction is to make states to satisfy a given requirement, specified as a CSL upper time-bounded Until formula. We distinguish two different cases, depending on the type of probability bound. A natural partitioning of the state space allows us to develop possible solutions, leading to simple algorithms for both cases.
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spelling doaj.art-3183ad2d2de549268d05c08d6f47e8812022-12-22T00:49:25ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802016-07-01220Proc. Cassting 2016/SynCoP'16778910.4204/EPTCS.220.7:21Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL RequirementsBharath Siva Kumar TatiMarkus Siegle0 UniBw This paper presents algorithms for identifying and reducing a dedicated set of controllable transition rates of a state-labelled continuous-time Markov chain model. The purpose of the reduction is to make states to satisfy a given requirement, specified as a CSL upper time-bounded Until formula. We distinguish two different cases, depending on the type of probability bound. A natural partitioning of the state space allows us to develop possible solutions, leading to simple algorithms for both cases.http://arxiv.org/pdf/1608.00658v1
spellingShingle Bharath Siva Kumar Tati
Markus Siegle
Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements
Electronic Proceedings in Theoretical Computer Science
title Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements
title_full Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements
title_fullStr Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements
title_full_unstemmed Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements
title_short Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements
title_sort rate reduction for state labelled markov chains with upper time bounded csl requirements
url http://arxiv.org/pdf/1608.00658v1
work_keys_str_mv AT bharathsivakumartati ratereductionforstatelabelledmarkovchainswithuppertimeboundedcslrequirements
AT markussiegle ratereductionforstatelabelledmarkovchainswithuppertimeboundedcslrequirements