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Generalised Markovian analysis of timed transition systems

Bibliography: leaves 149-157.

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Bibliographic Details
Main Author: Knottenbelt, William John
Other Authors: Kritzinger, Pieter S
Format: Thesis
Language:English
Published: Department of Computer Science 2015
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access_status_str Open Access
author Knottenbelt, William John
author2 Kritzinger, Pieter S
author_browse Knottenbelt, William John
Kritzinger, Pieter S
author_facet Kritzinger, Pieter S
Knottenbelt, William John
author_sort Knottenbelt, William John
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description Bibliography: leaves 149-157.
format Thesis
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institution University of Cape Town (South Africa)
language eng
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license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
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publisher Department of Computer Science
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spelling oai:open.uct.ac.za:11427/13525 Generalised Markovian analysis of timed transition systems Knottenbelt, William John Kritzinger, Pieter S Computer Science Bibliography: leaves 149-157. This dissertation concerns. analytical methods for assessing the performance of concurrent systems. More specifically, it focuses on the efficient generation and solution of large Markov chains which are derived from models of unrestricted timed transition systems. Timed transition systems may be described using several high-level formalisms, including Generalised Stochastic Petri nets, queueing networks and Queueing Petri nets. A system modelled with one of these formalisms may be mapped onto a Markov chain through a process known as state space generation. The Markov chain thus generated can then be solved for its steady-state distribution by numerically determining the solution to a large set of sparse linear equations known as the steady-state equations. Existing techniques of state space generation are surveyed and a new space-saving probabilistic dynamic state management technique is proposed and analysed in terms of its reliability and space complexity. State space reduction techniques involving on-the-fly elimination of vanishing states are also considered. Linear equation solvers suitable for solving large sparse sets of linear equations are surveyed, including direct methods, classical iterative methods, Krylov Subspace techniques and decomposition-based techniques. Emphasis is placed on Krylov subspace techniques and the Aggregation-Isolation technique, which is a recent decomposition-based algorithm applicable to solving general Markov chains. Since Markov chains derived from real life models may have very large state spaces, it is desirable to automate the performance analysis sequence. Consequently, the new state management technique and several linear equation solvers have been implemented in the Markov chain analyser DNAmaca. DNAmaca accepts a high-level model description of a timed transition system, generates the state space, derives and solves the steady-state equations and produces performance statistics. DNAmaca is described in detail and examples of timed transition systems which have been analysed with DNAmaca are presented. 2015-07-14T09:03:21Z 2015-07-14T09:03:21Z 1996 Master Thesis Masters MSc http://hdl.handle.net/11427/13525 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town
spellingShingle Computer Science
Knottenbelt, William John
Generalised Markovian analysis of timed transition systems
thesis_degree_str Master's
title Generalised Markovian analysis of timed transition systems
title_full Generalised Markovian analysis of timed transition systems
title_fullStr Generalised Markovian analysis of timed transition systems
title_full_unstemmed Generalised Markovian analysis of timed transition systems
title_short Generalised Markovian analysis of timed transition systems
title_sort generalised markovian analysis of timed transition systems
topic Computer Science
url http://hdl.handle.net/11427/13525
work_keys_str_mv AT knottenbeltwilliamjohn generalisedmarkoviananalysisoftimedtransitionsystems