Despite this tremendous activity, queueing theory, as a tool for analysis of practical problems, remains in a primitive state; perhaps mostly because the theory has been motivated only superficially by its potential applications.
... applications to scheduling queues and fluid systems 42/5379 13 : 060 Queueing ... problems in the context of performance measures that are steady - state ... order sense , provided the total intensity of the foreground traffic is ...
This book is divided into three parts. The first part discusses the basic concept of probability, probability distributions commonly used in applied probability, and important concept of a stochastic process.
... applications , 91–98 , - - Lecture Notes in Comput . Sci . , 2542 , Springer ... problems . ( English summary ) Monte Carlo Methods Appl . 10 ( 2004 ) , no ... Scheduling a multi class queue with many exponential servers ...
This book provides an introduction to probability, stochastic processes, and statistics for students of computer science, electrical/computer engineering, reliability engineering and applied mathematics.
... applications, are obtained as well. We illustrate the results through simulation under a variety system configuration and system load. Acknowledgements. The study was carried out under state order ... statistics from Weibull distribution ...
Fluid approximations; Simple queueing systems; Stochastic models; Equilibrium distributions; Diffusion approximations; Time-dependent queues; Neglected subjects.
... scheduling approach with an approach that uses a single queue for scheduling. In particular, the LLS approach uses a ... order, there is no problem of context switching. Dropped Data Units: The percentage of dropped data units as the ...
... order to find an optimal pattern for each time interval, it is a need to determine these two metrics as functions of number of active nodes in the system. The certain level of ... queueing 56 Scheduling Problems - New Applications and Trends.
This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students.