| 書目名稱 | Heavy Traffic Analysis of Controlled Queueing and Communication Networks | | 編輯 | Harold J. Kushner | | 視頻video | http://file.papertrans.cn/426/425103/425103.mp4 | | 概述 | One of the first books in the timely and important area of heavy traffic analysis of controlled and uncontrolles stochastics networks by one of the leading authors in the field | | 叢書名稱 | Stochastic Modelling and Applied Probability | | 圖書封面 |  | | 描述 | The aim of this book is the development of the heavy traffic approach to the modeling and analysis of queueing networks, both controlled and uncontrolled, and many applications to computer, communications, and manufacturing systems. The methods exploit the multiscale structure of the physical problem to get approximating models that have the form of reflected diffusion processes, either controlled or uncontrolled. These ap- proximating models have the basic structure of the original problem, but are significantly simpler. Much of inessential detail is eliminated (or "av- eraged out"). They greatly simplify analysis, design, and optimization and yield good approximations to problems that would otherwise be intractable, under broad conditions. Queueing-type processes are ubiquitous occurrences in operations re- search, and in communications and computer systems. Indeed, it is hard to avoid them in modern technology. The subject is now about 100 years old. and there is an enormous literature. Impressive techniques, many based on Markov chain and ergodic theory, have been developed to han- dle a great variety of models. A sampling of the numerous books includes [6, 8, 18, 27, 33, 46, 8 | | 出版日期 | Textbook 2001 | | 關鍵詞 | Analysis; Measure; Stochastic Differential Equations; Symbol; communication; development; numerical method | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-0005-2 | | isbn_softcover | 978-1-4612-6541-2 | | isbn_ebook | 978-1-4613-0005-2Series ISSN 0172-4568 Series E-ISSN 2197-439X | | issn_series | 0172-4568 | | copyright | Springer Science+Business Media New York 2001 |
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