Please link to this site using http://spnbook.org.
|Jim Dai||J. Michael Harrison|
|The Chinese University of University
of Hong Kong, Shenzhen
This book has two purposes. First, it describes a broad class of mathematical system models, called stochastic processing networks (SPNs), that are useful as representations of service systems, industrial processes, and digital systems for computing and com-munication. And second, it develops a fluid model methodology for proving SPN stability, by which we mean proving positive recurrence of the Markov chain describing the SPN.
We will keep PDFs of this book freely available after publication.
We submitted the final draft for copy-editing. Therefore, any issues you raise now may not make it into the printed version.