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dc.contributor.authorAnisimov, Vladimir V.en_US
dc.contributor.editorAlfa, A. S.
dc.contributor.editorChakravarthy, S. R.
dc.date.accessioned2019-05-15T11:29:23Z
dc.date.available2019-05-15T11:29:23Z
dc.date.issued1998en_US
dc.identifier.isbn9780966584707
dc.identifier.urihttp://hdl.handle.net/11693/51294
dc.description.abstractA class of switching stochastic systems with hierarchic state space working in different scales of time ( slow and fast) that are adequate mathematical models at the analysis and modelling of various classes of computing systems and networks of a complex stochastic structure is studied. Models of asymptotic decreasing dimension and enlargement ( merging) of state space for general switching systems and nonhomogeneous Markov systems are considered. Applications to approximative analytic modelling of queueing systems with hierarchic state space switched by some Markov environment are studied.en_US
dc.language.isoEnglishen_US
dc.relation.ispartofAdvances in matrix-analytic methods for stochastic modelsen_US
dc.titleAsymptotic analysis of stochastic models of hierarchic structure and applications in queueing modelsen_US
dc.typeBook Chapteren_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage237en_US
dc.citation.epage259en_US
dc.publisherNotable Pubnsen_US


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