Электронная книга: Oliver Ibe C. «Fundamentals of Stochastic Networks»
|
An interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important in various areas where they have not regularly been used. Combining techniques from stochastic processes and graph theory to analyze the behavior of networks, Fundamentals of Stochastic Networks provides an interdisciplinary approach by including practical applications of these stochastic networks in various fields of study, from engineering and operations management to communications and the physical sciences. The author uniquely unites different types of stochastic, queueing, and graphical networks that are typically studied independently of each other. With balanced coverage, the book is organized into three succinct parts: Part I introduces basic concepts in probability and stochastic processes, with coverage on counting, Poisson, renewal, and Markov processes Part II addresses basic queueing theory, with a focus on Markovian queueing systems and also explores advanced queueing theory, queueing networks, and approximations of queueing networks Part III focuses on graphical models, presenting an introduction to graph theory along with Bayesian, Boolean, and random networks The author presents the material in a self-contained style that helps readers apply the presented methods and techniques to science and engineering applications. Numerous practical examples are also provided throughout, including all related mathematical details. Featuring basic results without heavy emphasis on proving theorems, Fundamentals of Stochastic Networks is a suitable book for courses on probability and stochastic networks, stochastic network calculus, and stochastic network optimization at the upper-undergraduate and graduate levels. The book also serves as a reference for researchers and network professionals who would like to learn more about the general principles of stochastic networks. Издательство: "John Wiley&Sons Limited"
ISBN: 9781118092996 электронная книга Купить за 11316.87 руб и скачать на Litres |
Другие книги автора:
| Книга | Описание | Год | Цена | Тип книги |
|---|---|---|---|---|
| Elements of Random Walk and Diffusion Processes | Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in understanding discrete-state discrete-time processes… — John Wiley&Sons Limited, электронная книга Подробнее... | электронная книга | ||
| Fundamentals of Data Communication Networks | What every electrical engineering student and technical professional needs to know about data exchange across networks While most electrical engineering students learn how the individual components… — John Wiley&Sons Limited, электронная книга Подробнее... | электронная книга |
См. также в других словарях:
Fuzzy locating system — Fuzzy locating is a rough but reliable method based on appropriate measuring technology for estimating a location of an object. The concept of precise or ‘’crisp locating’’ is replaced with respect to the operational requirements and the economic … Wikipedia
Natural computing — For the scientific journal, see Natural Computing (journal). Natural computing, also called Natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of… … Wikipedia
RTLS communications — Articleissues essay=July 2008 copyedit=May 2008 refimprove=August 2008RTLS communications is a special breed of wireless communicating with the aim to support locating wireless nodes not only topologically, but merely topographically outdoors or… … Wikipedia
Theoretical ecology — Mathematical models developed in theoretical ecology predict complex food webs are less stable than simple webs.[1]:75–77[2]:64 … Wikipedia
Particle swarm optimization — (PSO) is a swarm intelligence based algorithm to find a solution to an optimization problem in a search space, or model and predict social behavior in the presence of objectives.OverviewParticle swarm optimization is a stochastic, population… … Wikipedia
Long-tail traffic — This article covers a range of tools from different disciplines that may be used in the important science of determining the probability of rare events. The terms long range dependent , self similar and heavy tailed are very close in meaning.… … Wikipedia
