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Stochastic Discrete Event Systems

Stochastic Discrete Event Systems PDF Author: Armin Zimmermann
Publisher: Springer Science & Business Media
ISBN: 3540741739
Category : Computers
Languages : en
Pages : 393

Book Description
Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.

Stochastic Discrete Event Systems

Stochastic Discrete Event Systems PDF Author: Armin Zimmermann
Publisher: Springer Science & Business Media
ISBN: 3540741739
Category : Computers
Languages : en
Pages : 393

Book Description
Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.

Stochastic Modeling of Manufacturing Systems

Stochastic Modeling of Manufacturing Systems PDF Author: George Liberopoulos
Publisher: Springer Science & Business Media
ISBN: 3540290575
Category : Business & Economics
Languages : en
Pages : 363

Book Description
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.

Formal Methods and Stochastic Models for Performance Evaluation

Formal Methods and Stochastic Models for Performance Evaluation PDF Author: András Horváth
Publisher: Springer
ISBN: 3540353658
Category : Computers
Languages : en
Pages : 246

Book Description
This book constitutes the refereed proceedings of the Third European Performance Engineering Workshop, EPEW 2006, held in Budapest, Hungary in June 2006. The 16 revised full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on stochastic process algebra, workloads and benchmarks, theory of stochastic processes, formal dependability and performance evaluation, as well as queues, theory and practice.

Fundamentals of Stochastic Models

Fundamentals of Stochastic Models PDF Author: Zhe George Zhang
Publisher: CRC Press
ISBN: 1000865967
Category : Technology & Engineering
Languages : en
Pages : 815

Book Description
Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches. The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.

Computer System Performance Modeling in Perspective

Computer System Performance Modeling in Perspective PDF Author: E. Gelenbe
Publisher: Imperial College Press
ISBN: 1860948928
Category : Computers
Languages : en
Pages : 290

Book Description
Computer system performance evaluation is a key discipline for the understanding of the behavior and limitations of large scale computer systems and networks. This volume provides an overview of the milestones and major developments of the field. The contributions to the book include many of the principal leaders from industry and academia with a truly international coverage, including several IEEE and ACM Fellows, two Fellows of the US National Academy of Engineering and a Fellow of the European Academy, and a former President of the Association of Computing Machinery. Sample Chapter(s). Chapter 1: Ken Sevcik as an Advisor and Mentor (252 KB). Contents: Ken Sevcik as an Advisor and Mentor (E Lazowska et al.); Shadow Servers and Priority Scheduling (J P Buzen); On the Chronology of Dynamic Allocation Index Policies: The Pioneering Work of K C Sevcik (E Coffman); Operational Analysis (P J Denning); Function Approximation by Random Neural Networks with a Bounded Number of Layers (E Gelenbe et al.); The Achilles'' Heel of Computer Performance Modeling and the Model Building Shield (V De Nitto Person & G Lazeolla); Wireless Network Simulation: Towards a Systematic Approach (S K Tripathi et al.); Location- and Power-Aware Protocols for Wireless Networks with Asymmetric Links (G Wang et al.); Multi-Threaded Servers with High Service Time Variation for Layered Queueing Networks (G Franks et al.); Quantiles of Sojourn Times (P G Harrison & W J Knottenbelt); Asymptotic Solutions for Two Non-Stationary Problems in Internet Reliability (Y Kogan & G Choudhury); Burst Loss Probabilities in an OBS Network with Dynamic Simultaneous Link Possession (T Battestilli & H Perros); Stochastic Analysis of Resource Allocation in Parallel Processing Systems (M S Squillante); Periodic Task Cluster Scheduling in Distributed Systems (H Karatza). Readership: Graduate students, Internet engineers, computer scientists, system engineers, and computer designers. Also suitable for use in professional development seminars in computers and networks."

Performance Analysis of Communication Systems

Performance Analysis of Communication Systems PDF Author: Reinhard German
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 466

Book Description
Algorithm 396 A.4.6 General Execution Policies 398 A.5 Transient Analysis of DSPNs 401 A.5.1 Solution Algorithm for Periodic DSPNs 401 A.5.2 Solution Algorithm for Non-periodic DSPNs 403 List of Abbreviations 407 Glossary of Notation 411 References 419 Index 433.

Computer System Performance Modeling In Perspective: A Tribute To The Work Of Prof Kenneth C Sevcik

Computer System Performance Modeling In Perspective: A Tribute To The Work Of Prof Kenneth C Sevcik PDF Author: Erol Gelenbe
Publisher: World Scientific
ISBN: 1908979828
Category : Computers
Languages : en
Pages : 290

Book Description
Computer system performance evaluation is a key discipline for the understanding of the behavior and limitations of large scale computer systems and networks. This volume provides an overview of the milestones and major developments of the field.The contributions to the book include many of the principal leaders from industry and academia with a truly international coverage, including several IEEE and ACM Fellows, two Fellows of the US National Academy of Engineering and a Fellow of the European Academy, and a former President of the Association of Computing Machinery./a

Stochastic Modelling of Social Processes

Stochastic Modelling of Social Processes PDF Author: Andreas Diekmann
Publisher: Academic Press
ISBN: 1483266567
Category : Mathematics
Languages : en
Pages : 352

Book Description
Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the social sciences. This book demonstrates that stochastic models can fulfill the goals of explanation and prediction. Organized into nine chapters, this book begins with an overview of stochastic models that fulfill normative, predictive, and structural–analytic roles with the aid of the theory of probability. This text then examines the study of labor market structures using analysis of job and career mobility, which is one of the approaches taken by sociologists in research on the labor market. Other chapters consider the characteristic trends and patterns from data on divorces. This book discusses as well the two approaches of stochastic modeling of social processes, namely competing risk models and semi-Markov processes. The final chapter deals with the practical application of regression models of survival data. This book is a valuable resource for social scientists and statisticians.

An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling PDF Author: Howard M. Taylor
Publisher: Academic Press
ISBN: 1483269272
Category : Mathematics
Languages : en
Pages : 410

Book Description
An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.

Stochastic Modeling

Stochastic Modeling PDF Author: Barry L. Nelson
Publisher: Courier Corporation
ISBN: 0486139948
Category : Mathematics
Languages : en
Pages : 338

Book Description
Coherent introduction to techniques also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Includes formulation of models, analysis, and interpretation of results. 1995 edition.