This 1987 book is a self-contained text on the probabilistic
modelling method. It provides the reader with an understanding of
the available results as well as with examples of their
application. The only background assumed is a knowledge of basic
calculus. The necessary fundamentals of probability are presented
followed by an introduction to stochastic processes. The remainder
of the book is devoted to the treatment of various single-station
and their application to uni-programmed and multi-programmed
systems and local and wide-area networks. Both exact and
approximate solution methods are discussed, with as much emphasis
on explaining the ideas and providing information, as on
derivations and proofs. This book will still be of use for anyone
with an interest in the history of computer science.
|Country of origin:
||Cambridge Computer Science Texts, 24
||229 x 152 x 12mm (L x W x T)
||Paperback - Trade
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