Q-MAM: a tool for solving infinite queues using matrix-analytic methods
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
On the canonical representation of phase type distributions
Performance Evaluation
Analytical models for understanding misbehavior and MAC friendliness in CSMA networks
Performance Evaluation
System-theoretical algorithmic solution to waiting times in semi-Markov queues
Performance Evaluation
Interfaces
Analysis of round-robin variants: favoring newly arrived jobs
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Generating correlated matrix exponential random variables
Advances in Engineering Software
Probabilistic models for access strategies to dynamic information elements
Performance Evaluation
Delay analysis for sleep-based power saving mechanisms with downlink and uplink traffic
IEEE Communications Letters
Foreword to the thematical issue "centenary of the queuing theory"
Automation and Remote Control
KPC-Toolbox: Best recipes for automatic trace fitting using Markovian Arrival Processes
Performance Evaluation
Stochastic Petri nets with matrix exponentially distributed firing times
Performance Evaluation
Rational Automata Networks: A Non-Markovian Modeling Approach
INFORMS Journal on Computing
A comparison of web robot and human requests
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Numerical analysis of rational processes beyond Markov chains
Performance Evaluation
Network aware dynamic context subscription management
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Queueing Theory deals with systems where there is contention for resources, but the demands are only known probabilistically. This book can be considered to be a monograph or a textbook, and thus is aimed at two audiences: those who already know Queueing Theory but would like to know more of the Linear Algebraic Approach; and as a rst course for students who don't already have a strong background in probability, and feel more comfortable with algebraic arguments. Also, the equations are well suited to easy computation. In fact, there is much discussion on how various properties can be easily computed in any language that has automatic matrix operations (e.g., MATLAB). To help with physical insight, there are over 80 gures, numerous examples and exercises distributed throughout the book. There are, perhaps 50 books on QT that are available today, and most practitioners have several of them on their shelves. This book would be a good addition, as well as a good supplement to another text. This second editionhas been updated throughoutincluding a new chapter on Semi Markov Processes and new material on matrix representations of distributions and Power-tailed distribution. Lester Lipsky is a Professor in the Department of Computer Science and Engineering at the University of Connecticut.