A linear programming approach to stability, optimization and performance analysis for Markovian multiclass queueing networks
Kevin Glazebrook () and
José Nino Mora ()
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Kevin Glazebrook: School of Mathematics and Statistics, Newcastle University, United Kingdom
José Nino Mora: Center for Operations Research and Econometrics (CORE), Université catholique de Louvain (UCL), Louvain la Neuve, Belgium
No 1997064, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)
Abstract:
Our object of study is a multiclass queueing network (MQNET) which consists of a collection of (connected) single server stations. Exogenous arrivals into the system form independent Poisson streams, service times are exponential and we have Markovian routing of customers between stations. Recent results concerning linear programming (LP) based approaches enable us to establish a simple and intuitive stability condition. This is of interest in its own right, but also enables us to progress with a study of optimal scheduling and performance analysis. Our methodology here is also based on LP. A primal-dual approach exploits the fact that the system satisfies (approximate) conservation laws to yield performance guarantees for a natural index-based scheduling heuristic. We are also able to analyse the performance of an arbitrary priority policy.
Date: 1997-09-01
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:1997064
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