TAILIEUCHUNG - Queueing mạng lưới và chuỗi Markov P12

Performance Analysis Tools Performance analysis tools have acquired increased importance due to increased complexity of modern systems. It is often the case that system measurements are not available or are very difficult to get. In such cases the development and the solution of a system model is an effective method of performance assessment. Software tools that support performance modeling studies provide one or more of the following solution methods: | Queueing Networks and Markov Chains Gunter Botch Stefan Greiner Hermann de Meer Kishor S. Trivedi Copyright 1998 John Wiley Sons Inc. Print ISBN 0-471-19366-6 Online ISBN 0-471-20058-1 -9 ZW e JN Performance Analysis Tools Performance analysis tools have acquired increased importance due to increased complexity of modern systems. It is often the case that system measurements are not available or are very difficult to get. In such cases the development and the solution of a system model is an effective method of performance assessment. Software tools that support performance modeling studies provide one or more of the following solution methods Discrete-event simulation. Generation and steady-state and or transient solution of CTMC and DTMC. Exact and or approximate solution of product-form queueing networks. Approximate solution of non-product-form queueing networks. Hierarchical multilevel models combining one or more of the preceding methods. If we use DES then the system behavior can be described very accurately but computation time and resource needs are usually extremely high. In this book queueing network solutions as well as Markov chain analysis methods have been introduced to analyze system models. Queueing networks are very easy to understand and allow a very compact system description. For a limited class of queueing networks see Chapters 8 and 9 so-called product-form queueing networks efficient solution algorithms such as convolution MVA SCAT are available. But many queueing networks do not fulfill the productform requirements. In this case approximation methods can be used see 571 572 PERFORMANCE ANALYSIS TOOLS Chapter 10 . It is also possible to develop a multilevel model to approximately solve a non-product-form queueing network. If the approximation methods are not accurate enough or cannot be applied to a certain problem as can for example be the case when we have non-exponentially distributed service times or when blocking is allowed in the .

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