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| Title: | Distributions in Stochastic Network Models
|
| Author: | G Sh Tsitsiashvili & M A Osipova |
| ISBN: | 1604561432 : 9781604561432 |
| Format: | Hardback |
| Size: | 180x260mm |
| Pages: | 75 |
| Weight: | .396 Kg. |
| Published: | Nova Science Publishers - February 2008 |
| List Price: | 59.5 Pounds Sterling |
| Availability: | In Print |
| Subjects: | Stochastics |
This monograph presents important research results in the areas of queuing theory, risk theory, graph theory and reliability theory. The analysed stochastic network models are aggregated systems of elements in random environments. To construct and to analyse a large number of different stochastic network models it is possible by a proof of new analytical results and a construction of calculation algorithms besides of the application of cumbersome traditional techniques Such a constructive approach is in a prior detailed investigation of an algebraic model component and leads to an appearance of new original stochastic network models, algorithms and application to computer science and information technologies. Accuracy and asymptotic formulas, additional calculation algorithms have been constructed due to an introduction of control parameters into analysed models, a reduction of multi-dimensional problems to one dimensional problems, a comparative analysis, a graphic interpretation of network models, an investigation of new models characteristics, a choice of special distributions classes or principles of subsystems aggregation, proves of new statements.
Preface; Limit Distributions in Queuing Networks with Variable Structure ; Limit Distributions in Queuing Networks and Systems with Unreliable Elements ; Limit Distributions in Queuing Networks with Different Types of Customers and Schemes of Their Transformations; Optimisation of Queuing Network Ability to Handle Customers; Superposition of Queuing Networks; Embrechts -- Veraverbeke Formula in Multiserver Queuing Models; Co-operative Effects in Queuing Systems with Rejection; Asymptotic Analysis of Logical Systems with Unreliable Elements; Co-operation and Competition in Risk Models; Bibliography; Index.
