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- W1520351985 abstract "The chapter demonstrates the way the steady state behavior of complex stochastic systems can be analyzed using a variety of analytic techniques. The types of models that are of interest are queuing network models, where customers move among a set of service stations. Such models are very useful for studying performance aspects of the system of interest. The analysis of these systems can be approached in two ways: (a) stochastic arguments, which are almost invariably based on the Markovian property and (b) operational arguments, which are based on assumptions about finite behavior sequences. While operational analysis has limited applicability, it provides intuitive and simple proofs of various fundamental results, and thus enhances understanding. It also has the advantage that the results can be applied to any behavior sequence that has the assumed properties, irrespective of whether the system under study is stochastic or deterministic. Stochastic analysis is essential for tackling complex models. Stochastic analysis is essential for tackling complex models. The chapter briefly discusses the major results from classical queuing theory and the concept of queuing networks." @default.
- W1520351985 created "2016-06-24" @default.
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- W1520351985 date "1993-01-01" @default.
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- W1520351985 title "2 Steady state analysis of stochastic systems" @default.
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- W1520351985 doi "https://doi.org/10.1016/s0169-7161(05)80126-9" @default.
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