Transfer lines with inter-stage buffers and unreliable servers are often modelled by means of Markov chains. Because of the large number of states, solving the steady-state equations of the chain is not a trivial task. This paper proposes a two-level iterative scheme for computing the steady-state probability distribution. In the framework of non-negative matrix theory some general results are proved which guarantee the convergence of the proposed procedure. Moreover, numerous numerical experiments are given, which show that the two-level iterative scheme enjoys a very good rate of convergence. The method also works suitably for solving the steady-state probability equation of chains modelling systems with more than three stages
Two-level solution method for Markov chain modelling transfer lines with unreliable servers and finite buffers / Fanti, M. P.; Maione, B.; Peluso, R.; Turchiano, B.. - In: INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE. - ISSN 0020-7721. - STAMPA. - 20:6(1989), pp. 971-989. [10.1080/00207728908910185]
Two-level solution method for Markov chain modelling transfer lines with unreliable servers and finite buffers
Fanti, M. P.;Maione, B.;Peluso, R.;Turchiano, B.
1989-01-01
Abstract
Transfer lines with inter-stage buffers and unreliable servers are often modelled by means of Markov chains. Because of the large number of states, solving the steady-state equations of the chain is not a trivial task. This paper proposes a two-level iterative scheme for computing the steady-state probability distribution. In the framework of non-negative matrix theory some general results are proved which guarantee the convergence of the proposed procedure. Moreover, numerous numerical experiments are given, which show that the two-level iterative scheme enjoys a very good rate of convergence. The method also works suitably for solving the steady-state probability equation of chains modelling systems with more than three stagesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.